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You searched for +publisher:"Vanderbilt University" +contributor:("Benoit M. Dawant"). Showing records 1 – 28 of 28 total matches.

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Vanderbilt University

1. Shang, Qingyang. separation and segmentation of the hepatic vasculature in CT images.

Degree: PhD, Electrical Engineering, 2010, Vanderbilt University

 Accurate analysis of the hepatic vasculature is of great importance for many medical applications, such as liver surgical planning and diagnosis of tumors and/or vascular… (more)

Subjects/Keywords: Hepatic vessel; CT liver images; vessel separation; vessel segmentation

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APA (6th Edition):

Shang, Q. (2010). separation and segmentation of the hepatic vasculature in CT images. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-03222010-183706/ ;

Chicago Manual of Style (16th Edition):

Shang, Qingyang. “separation and segmentation of the hepatic vasculature in CT images.” 2010. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu//available/etd-03222010-183706/ ;.

MLA Handbook (7th Edition):

Shang, Qingyang. “separation and segmentation of the hepatic vasculature in CT images.” 2010. Web. 24 Jan 2020.

Vancouver:

Shang Q. separation and segmentation of the hepatic vasculature in CT images. [Internet] [Doctoral dissertation]. Vanderbilt University; 2010. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu//available/etd-03222010-183706/ ;.

Council of Science Editors:

Shang Q. separation and segmentation of the hepatic vasculature in CT images. [Doctoral Dissertation]. Vanderbilt University; 2010. Available from: http://etd.library.vanderbilt.edu//available/etd-03222010-183706/ ;


Vanderbilt University

2. Asman, Andrew Joseph. Multi-Atlas Segmentation through Rater Performance Modeling: Theory and Applications.

Degree: PhD, Electrical Engineering, 2014, Vanderbilt University

 The ability to generalize information from examples has been the driving force behind decades of statistical modeling and machine learning research. Building on this fundamental… (more)

Subjects/Keywords: Label Fusion; Medical Image Analysis; Multi-Atlas Segmentation

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APA (6th Edition):

Asman, A. J. (2014). Multi-Atlas Segmentation through Rater Performance Modeling: Theory and Applications. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-04152014-115658/ ;

Chicago Manual of Style (16th Edition):

Asman, Andrew Joseph. “Multi-Atlas Segmentation through Rater Performance Modeling: Theory and Applications.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-04152014-115658/ ;.

MLA Handbook (7th Edition):

Asman, Andrew Joseph. “Multi-Atlas Segmentation through Rater Performance Modeling: Theory and Applications.” 2014. Web. 24 Jan 2020.

Vancouver:

Asman AJ. Multi-Atlas Segmentation through Rater Performance Modeling: Theory and Applications. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-04152014-115658/ ;.

Council of Science Editors:

Asman AJ. Multi-Atlas Segmentation through Rater Performance Modeling: Theory and Applications. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://etd.library.vanderbilt.edu/available/etd-04152014-115658/ ;


Vanderbilt University

3. Chen, Antong. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.

Degree: PhD, Electrical Engineering, 2012, Vanderbilt University

 Cancers in the head and neck region account for approximately 3 percent of all cancers in the United States, as it is reported by the… (more)

Subjects/Keywords: IMRT; image registration; medical image processing; image segmentaiton; active shape model

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APA (6th Edition):

Chen, A. (2012). Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;

Chicago Manual of Style (16th Edition):

Chen, Antong. “Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;.

MLA Handbook (7th Edition):

Chen, Antong. “Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.” 2012. Web. 24 Jan 2020.

Vancouver:

Chen A. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;.

Council of Science Editors:

Chen A. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;


Vanderbilt University

4. Collins, Jarrod Alan. Enhanced treatment planning and navigation for image-guided microwave ablation of hepatic tumors.

Degree: PhD, Biomedical Engineering, 2018, Vanderbilt University

 Primary and metastatic liver cancers are a considerable and increasing U.S. and global health concern. Patients presenting with hepatic tumors are preferably treated with surgical… (more)

Subjects/Keywords: image-guidance; surgical navigation; microwave ablation; therapeutic planning; liver; deformation; registration

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APA (6th Edition):

Collins, J. A. (2018). Enhanced treatment planning and navigation for image-guided microwave ablation of hepatic tumors. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-11092018-125336/ ;

Chicago Manual of Style (16th Edition):

Collins, Jarrod Alan. “Enhanced treatment planning and navigation for image-guided microwave ablation of hepatic tumors.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-11092018-125336/ ;.

MLA Handbook (7th Edition):

Collins, Jarrod Alan. “Enhanced treatment planning and navigation for image-guided microwave ablation of hepatic tumors.” 2018. Web. 24 Jan 2020.

Vancouver:

Collins JA. Enhanced treatment planning and navigation for image-guided microwave ablation of hepatic tumors. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-11092018-125336/ ;.

Council of Science Editors:

Collins JA. Enhanced treatment planning and navigation for image-guided microwave ablation of hepatic tumors. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-11092018-125336/ ;


Vanderbilt University

5. Liu, Yuan. Improving image-guided preoperative planning in deep brain stimulation procedures.

Degree: PhD, Computer Science, 2016, Vanderbilt University

 Deep brain stimulation is a stereotactic surgery widely used to treat neurological disorders such as Parkinsonâs disease. This procedure involves inserting a permanent electrode into… (more)

Subjects/Keywords: medical image analysis; applied machine learning; thalamic nuclei; deep brain stimulation; image-guided surgery; preoperative planning

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APA (6th Edition):

Liu, Y. (2016). Improving image-guided preoperative planning in deep brain stimulation procedures. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-08082016-174540/ ;

Chicago Manual of Style (16th Edition):

Liu, Yuan. “Improving image-guided preoperative planning in deep brain stimulation procedures.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu//available/etd-08082016-174540/ ;.

MLA Handbook (7th Edition):

Liu, Yuan. “Improving image-guided preoperative planning in deep brain stimulation procedures.” 2016. Web. 24 Jan 2020.

Vancouver:

Liu Y. Improving image-guided preoperative planning in deep brain stimulation procedures. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu//available/etd-08082016-174540/ ;.

Council of Science Editors:

Liu Y. Improving image-guided preoperative planning in deep brain stimulation procedures. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu//available/etd-08082016-174540/ ;

6. Huo, Yuankai. Structural Medical Image Analyses using Consistent Volume and Surface Image Processing.

Degree: PhD, Electrical Engineering, 2018, Vanderbilt University

 Medical imaging refers to the technologies of creating visual representation of the interior of human body. Clinical practitioners can make diagnoses by visually investigating the… (more)

Subjects/Keywords: medical imaging; medical image analyses; surface; segmentation; consistent

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APA (6th Edition):

Huo, Y. (2018). Structural Medical Image Analyses using Consistent Volume and Surface Image Processing. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03132018-154107/ ;

Chicago Manual of Style (16th Edition):

Huo, Yuankai. “Structural Medical Image Analyses using Consistent Volume and Surface Image Processing.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-03132018-154107/ ;.

MLA Handbook (7th Edition):

Huo, Yuankai. “Structural Medical Image Analyses using Consistent Volume and Surface Image Processing.” 2018. Web. 24 Jan 2020.

Vancouver:

Huo Y. Structural Medical Image Analyses using Consistent Volume and Surface Image Processing. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-03132018-154107/ ;.

Council of Science Editors:

Huo Y. Structural Medical Image Analyses using Consistent Volume and Surface Image Processing. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-03132018-154107/ ;


Vanderbilt University

7. Cakir, Ahmet. Use of patient-specific models for computer-assisted cochlear implant programming.

Degree: PhD, Computer Science, 2019, Vanderbilt University

 Sensorineural hearing loss affects over 10% of the U.S. population and is most commonly caused by damage to the hair cells that transduce sound into… (more)

Subjects/Keywords: computational models; neural activation; cochlear implant programming; Cochlear

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APA (6th Edition):

Cakir, A. (2019). Use of patient-specific models for computer-assisted cochlear implant programming. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07122019-022944/ ;

Chicago Manual of Style (16th Edition):

Cakir, Ahmet. “Use of patient-specific models for computer-assisted cochlear implant programming.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-07122019-022944/ ;.

MLA Handbook (7th Edition):

Cakir, Ahmet. “Use of patient-specific models for computer-assisted cochlear implant programming.” 2019. Web. 24 Jan 2020.

Vancouver:

Cakir A. Use of patient-specific models for computer-assisted cochlear implant programming. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-07122019-022944/ ;.

Council of Science Editors:

Cakir A. Use of patient-specific models for computer-assisted cochlear implant programming. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://etd.library.vanderbilt.edu/available/etd-07122019-022944/ ;


Vanderbilt University

8. Reda, Fitsum Aklilu. Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming.

Degree: PhD, Electrical Engineering, 2014, Vanderbilt University

 A cochlear implant (CI) is a neural prosthetic device that restores hearing by directly stimulating the auditory nerve using an electrode array surgically placed in… (more)

Subjects/Keywords: Image Segmentation; Image Registration; Statistical Shape Models; Surface-to-Image Registration; Shape Alignment; Cochlear Imaplnt; Cochlear Implant Surgery; Cochlear Implant Programming; CT; Ear; Minimally-invasive Surgery

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APA (6th Edition):

Reda, F. A. (2014). Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-03232014-133728/ ;

Chicago Manual of Style (16th Edition):

Reda, Fitsum Aklilu. “Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu//available/etd-03232014-133728/ ;.

MLA Handbook (7th Edition):

Reda, Fitsum Aklilu. “Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming.” 2014. Web. 24 Jan 2020.

Vancouver:

Reda FA. Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu//available/etd-03232014-133728/ ;.

Council of Science Editors:

Reda FA. Automatic Segmentation of Structures and Registration of CT Images for Image-Guided Otologic Surgery and Implant Programming. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://etd.library.vanderbilt.edu//available/etd-03232014-133728/ ;

9. Sathyanarayanan, Vijayalakshmi. Evaluation of Moving Least Squares as a Technique for Non-Rigid Medical Image Registration.

Degree: MS, Electrical Engineering, 2009, Vanderbilt University

 Abstract This thesis evaluates the performance of two non-rigid image registration techniques. The Moving Least Squares (MLS) technique is compared to the widely used Thin-plate… (more)

Subjects/Keywords: Non-rigid Registration; Moving Least Squares; Medical Image Registration; Image Registration; Imaging systems in medicine

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APA (6th Edition):

Sathyanarayanan, V. (2009). Evaluation of Moving Least Squares as a Technique for Non-Rigid Medical Image Registration. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-12042008-153244/ ;

Chicago Manual of Style (16th Edition):

Sathyanarayanan, Vijayalakshmi. “Evaluation of Moving Least Squares as a Technique for Non-Rigid Medical Image Registration.” 2009. Masters Thesis, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-12042008-153244/ ;.

MLA Handbook (7th Edition):

Sathyanarayanan, Vijayalakshmi. “Evaluation of Moving Least Squares as a Technique for Non-Rigid Medical Image Registration.” 2009. Web. 24 Jan 2020.

Vancouver:

Sathyanarayanan V. Evaluation of Moving Least Squares as a Technique for Non-Rigid Medical Image Registration. [Internet] [Masters thesis]. Vanderbilt University; 2009. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-12042008-153244/ ;.

Council of Science Editors:

Sathyanarayanan V. Evaluation of Moving Least Squares as a Technique for Non-Rigid Medical Image Registration. [Masters Thesis]. Vanderbilt University; 2009. Available from: http://etd.library.vanderbilt.edu/available/etd-12042008-153244/ ;

10. Xu, Zhoubing. Automatic Segmentation of the Human Abdomen on Clinically Acquired CT.

Degree: PhD, Electrical Engineering, 2016, Vanderbilt University

 The human abdomen is an essential, yet complex body space clinically. Computational tomography (CT) scans are routinely taken for the diagnosis and prognosis of abdomen-related… (more)

Subjects/Keywords: active shape model; multi-atlas label fusion; image segmentation; abdomen; CT; quantitative analysis

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APA (6th Edition):

Xu, Z. (2016). Automatic Segmentation of the Human Abdomen on Clinically Acquired CT. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-01192016-152253/ ;

Chicago Manual of Style (16th Edition):

Xu, Zhoubing. “Automatic Segmentation of the Human Abdomen on Clinically Acquired CT.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-01192016-152253/ ;.

MLA Handbook (7th Edition):

Xu, Zhoubing. “Automatic Segmentation of the Human Abdomen on Clinically Acquired CT.” 2016. Web. 24 Jan 2020.

Vancouver:

Xu Z. Automatic Segmentation of the Human Abdomen on Clinically Acquired CT. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-01192016-152253/ ;.

Council of Science Editors:

Xu Z. Automatic Segmentation of the Human Abdomen on Clinically Acquired CT. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu/available/etd-01192016-152253/ ;

11. Ding, Siyi. Intraoperative brain shift estimation using vessel segmentation registration and tracking.

Degree: PhD, Electrical Engineering, 2011, Vanderbilt University

 A typical image-guided neurosurgery system (IGNS) presents images acquired pre-operatively to the surgeons to assist in planning and executing the procedure. The major issue with… (more)

Subjects/Keywords: tracking; segmentation; registration; image guided surgery; brain shift

…Thompson3, Prashanth Dumpuri2, Aize Cao2, Benoit M. Dawant1 1 Vanderbilt University, Department… …of Electrical Engineering, Nashville, TN, 37212 2 Vanderbilt University, Department of… …Biomedical Engineering, Nashville, TN, 37212 3 Vanderbilt University Medical Center, Department… …Thompson3, Benoit M. Dawant1 1 Vanderbilt University, Department of Electrical Engineering… …Nashville, TN, 37212 2 Vanderbilt University, Department of Biomedical Engineering, Nashville… 

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APA (6th Edition):

Ding, S. (2011). Intraoperative brain shift estimation using vessel segmentation registration and tracking. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03262011-145303/ ;

Chicago Manual of Style (16th Edition):

Ding, Siyi. “Intraoperative brain shift estimation using vessel segmentation registration and tracking.” 2011. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-03262011-145303/ ;.

MLA Handbook (7th Edition):

Ding, Siyi. “Intraoperative brain shift estimation using vessel segmentation registration and tracking.” 2011. Web. 24 Jan 2020.

Vancouver:

Ding S. Intraoperative brain shift estimation using vessel segmentation registration and tracking. [Internet] [Doctoral dissertation]. Vanderbilt University; 2011. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-03262011-145303/ ;.

Council of Science Editors:

Ding S. Intraoperative brain shift estimation using vessel segmentation registration and tracking. [Doctoral Dissertation]. Vanderbilt University; 2011. Available from: http://etd.library.vanderbilt.edu/available/etd-03262011-145303/ ;

12. Noble, Jack Henry. Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation.

Degree: PhD, Electrical Engineering, 2011, Vanderbilt University

 This dissertation presents studies on, and from, the development of algorithms for the automatic segmentation of the structures of the ear. Many otological procedures would… (more)

Subjects/Keywords: Dijkstra's algorithm; model-based segmentation; atlas-based segmentation; optimal path; temporal bone; tubular segmentation

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APA (6th Edition):

Noble, J. H. (2011). Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-04132011-145959/ ;

Chicago Manual of Style (16th Edition):

Noble, Jack Henry. “Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation.” 2011. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu//available/etd-04132011-145959/ ;.

MLA Handbook (7th Edition):

Noble, Jack Henry. “Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation.” 2011. Web. 24 Jan 2020.

Vancouver:

Noble JH. Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation. [Internet] [Doctoral dissertation]. Vanderbilt University; 2011. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu//available/etd-04132011-145959/ ;.

Council of Science Editors:

Noble JH. Automatic Identification of the Structures of the Ear and a New Approach for Tubular Structure Modeling and Segmentation. [Doctoral Dissertation]. Vanderbilt University; 2011. Available from: http://etd.library.vanderbilt.edu//available/etd-04132011-145959/ ;

13. Datteri, Ryan David. Assessing registration quality via registration circuits.

Degree: PhD, Computer Science, 2014, Vanderbilt University

 In the field of image registration there is a pressing need for techniques that can assess the quality of a registration. Currently there is no… (more)

Subjects/Keywords: error estimation; non-rigid; medical imaging; image processing; image registration; fiducial registration; error reduction

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APA (6th Edition):

Datteri, R. D. (2014). Assessing registration quality via registration circuits. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-09302014-151242/ ;

Chicago Manual of Style (16th Edition):

Datteri, Ryan David. “Assessing registration quality via registration circuits.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-09302014-151242/ ;.

MLA Handbook (7th Edition):

Datteri, Ryan David. “Assessing registration quality via registration circuits.” 2014. Web. 24 Jan 2020.

Vancouver:

Datteri RD. Assessing registration quality via registration circuits. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-09302014-151242/ ;.

Council of Science Editors:

Datteri RD. Assessing registration quality via registration circuits. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://etd.library.vanderbilt.edu/available/etd-09302014-151242/ ;

14. Clements, Logan. Salient anatomical features for robust surface registration and atlas-based model updating in image-guided liver surgery.

Degree: PhD, Biomedical Engineering, 2009, Vanderbilt University

 Image-guided surgery (IGS) has emerged as a valuable tool for the interactive incorporation of pre-operative image data into the surgical setting. While a majority of… (more)

Subjects/Keywords: image-guided surgery; laser range scanning; liver; salient features; surface registration; bio-mechanical modeling

…IGLS was proposed for both open and laparoscopic hepatic resections at Vanderbilt University… 

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APA (6th Edition):

Clements, L. (2009). Salient anatomical features for robust surface registration and atlas-based model updating in image-guided liver surgery. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-04072009-121304/ ;

Chicago Manual of Style (16th Edition):

Clements, Logan. “Salient anatomical features for robust surface registration and atlas-based model updating in image-guided liver surgery.” 2009. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu//available/etd-04072009-121304/ ;.

MLA Handbook (7th Edition):

Clements, Logan. “Salient anatomical features for robust surface registration and atlas-based model updating in image-guided liver surgery.” 2009. Web. 24 Jan 2020.

Vancouver:

Clements L. Salient anatomical features for robust surface registration and atlas-based model updating in image-guided liver surgery. [Internet] [Doctoral dissertation]. Vanderbilt University; 2009. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu//available/etd-04072009-121304/ ;.

Council of Science Editors:

Clements L. Salient anatomical features for robust surface registration and atlas-based model updating in image-guided liver surgery. [Doctoral Dissertation]. Vanderbilt University; 2009. Available from: http://etd.library.vanderbilt.edu//available/etd-04072009-121304/ ;

15. Plassard, Andrew John. Sequence-Aware and Advanced Biomarker Calculation Improves Statistical Inference in Image Processing of Parkinsonâs Disease.

Degree: PhD, Computer Science, 2017, Vanderbilt University

 Improved segmentation of magnetic resonance imaging is necessary to provide quantitative and anatomical information for current and future radiological understanding of Parkinsonâs disease and progression.… (more)

Subjects/Keywords: Medical Image Segmentation; Parkinson's disease

…discuss the informatic challenges behind image processing at Vanderbilt University. Finally, we… …standard from Vanderbilt University Medical Center (VUMC) to a PACs . 3.2. Long-term… …simulation and manually labeled examples for the empirical data. 3. Informatics At Vanderbilt… …University Medical Center, the standard practice for clinical care for patients with PD undergoing… 

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APA (6th Edition):

Plassard, A. J. (2017). Sequence-Aware and Advanced Biomarker Calculation Improves Statistical Inference in Image Processing of Parkinsonâs Disease. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-11132017-102812/ ;

Chicago Manual of Style (16th Edition):

Plassard, Andrew John. “Sequence-Aware and Advanced Biomarker Calculation Improves Statistical Inference in Image Processing of Parkinsonâs Disease.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-11132017-102812/ ;.

MLA Handbook (7th Edition):

Plassard, Andrew John. “Sequence-Aware and Advanced Biomarker Calculation Improves Statistical Inference in Image Processing of Parkinsonâs Disease.” 2017. Web. 24 Jan 2020.

Vancouver:

Plassard AJ. Sequence-Aware and Advanced Biomarker Calculation Improves Statistical Inference in Image Processing of Parkinsonâs Disease. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-11132017-102812/ ;.

Council of Science Editors:

Plassard AJ. Sequence-Aware and Advanced Biomarker Calculation Improves Statistical Inference in Image Processing of Parkinsonâs Disease. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://etd.library.vanderbilt.edu/available/etd-11132017-102812/ ;

16. Parvathaneni, Prasanna. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies.

Degree: PhD, Electrical Engineering, 2019, Vanderbilt University

 Neuroimaging provides an opportunity to gain valuable insight onto the microstructural changes in the brain associated with healthy growth and neurological disorders when conducting longitudinal… (more)

Subjects/Keywords: Brain; Neuroimaging; MRI; Gray Matter; Diffusion MRI

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APA (6th Edition):

Parvathaneni, P. (2019). Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03222019-160525/ ;

Chicago Manual of Style (16th Edition):

Parvathaneni, Prasanna. “Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-03222019-160525/ ;.

MLA Handbook (7th Edition):

Parvathaneni, Prasanna. “Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies.” 2019. Web. 24 Jan 2020.

Vancouver:

Parvathaneni P. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-03222019-160525/ ;.

Council of Science Editors:

Parvathaneni P. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://etd.library.vanderbilt.edu/available/etd-03222019-160525/ ;

17. Pallavaram Srinivasan, Srivatsan. Standardizing indirect targeting and building electrophysiological maps for deep brain stimulation surgery after accounting for brain shift.

Degree: PhD, Electrical Engineering, 2010, Vanderbilt University

 Chronic Deep Brain Stimulation (DBS) has been a rapidly evolving area of neurotherapeutics since its initial introduction for the treatment of Parkinsonâs disease and essential… (more)

Subjects/Keywords: non-rigid registration; statistical maps; pre-operative planning; intra-operative navigation or guidance; post-operative programming; electrophysiological atlases; Deep Brain Stimulation

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APA (6th Edition):

Pallavaram Srinivasan, S. (2010). Standardizing indirect targeting and building electrophysiological maps for deep brain stimulation surgery after accounting for brain shift. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07152010-142554/ ;

Chicago Manual of Style (16th Edition):

Pallavaram Srinivasan, Srivatsan. “Standardizing indirect targeting and building electrophysiological maps for deep brain stimulation surgery after accounting for brain shift.” 2010. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-07152010-142554/ ;.

MLA Handbook (7th Edition):

Pallavaram Srinivasan, Srivatsan. “Standardizing indirect targeting and building electrophysiological maps for deep brain stimulation surgery after accounting for brain shift.” 2010. Web. 24 Jan 2020.

Vancouver:

Pallavaram Srinivasan S. Standardizing indirect targeting and building electrophysiological maps for deep brain stimulation surgery after accounting for brain shift. [Internet] [Doctoral dissertation]. Vanderbilt University; 2010. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-07152010-142554/ ;.

Council of Science Editors:

Pallavaram Srinivasan S. Standardizing indirect targeting and building electrophysiological maps for deep brain stimulation surgery after accounting for brain shift. [Doctoral Dissertation]. Vanderbilt University; 2010. Available from: http://etd.library.vanderbilt.edu/available/etd-07152010-142554/ ;

18. Han, Zhaoying. Effect of non-rigid registration algorithms on the analysis of brain MR images with deformation based morphometry.

Degree: PhD, Electrical Engineering, 2011, Vanderbilt University

 Deformation Based Morphometry (DBM) is a widely used method for characterizing anatomical differences across populations. DBM is based on the analysis of the deformation fields… (more)

Subjects/Keywords: nonrigid registration; brain atlas; deformation based morphometry; Williams Syndrome

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APA (6th Edition):

Han, Z. (2011). Effect of non-rigid registration algorithms on the analysis of brain MR images with deformation based morphometry. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-09242011-015918/ ;

Chicago Manual of Style (16th Edition):

Han, Zhaoying. “Effect of non-rigid registration algorithms on the analysis of brain MR images with deformation based morphometry.” 2011. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-09242011-015918/ ;.

MLA Handbook (7th Edition):

Han, Zhaoying. “Effect of non-rigid registration algorithms on the analysis of brain MR images with deformation based morphometry.” 2011. Web. 24 Jan 2020.

Vancouver:

Han Z. Effect of non-rigid registration algorithms on the analysis of brain MR images with deformation based morphometry. [Internet] [Doctoral dissertation]. Vanderbilt University; 2011. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-09242011-015918/ ;.

Council of Science Editors:

Han Z. Effect of non-rigid registration algorithms on the analysis of brain MR images with deformation based morphometry. [Doctoral Dissertation]. Vanderbilt University; 2011. Available from: http://etd.library.vanderbilt.edu/available/etd-09242011-015918/ ;


Vanderbilt University

19. Joshi, Pallavi Vilas. Automatic segmentation of brain structures for radiotherapy planning.

Degree: MS, Electrical Engineering, 2005, Vanderbilt University

 In the past few decades unprecedented advances have been made in the field of medical imaging. Various imaging technologies such as Computed Tomography, Magnetic Resonance… (more)

Subjects/Keywords: Registration; atlas-based segmentation; Classifier combination; Validation

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APA (6th Edition):

Joshi, P. V. (2005). Automatic segmentation of brain structures for radiotherapy planning. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03312005-191032/ ;

Chicago Manual of Style (16th Edition):

Joshi, Pallavi Vilas. “Automatic segmentation of brain structures for radiotherapy planning.” 2005. Masters Thesis, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-03312005-191032/ ;.

MLA Handbook (7th Edition):

Joshi, Pallavi Vilas. “Automatic segmentation of brain structures for radiotherapy planning.” 2005. Web. 24 Jan 2020.

Vancouver:

Joshi PV. Automatic segmentation of brain structures for radiotherapy planning. [Internet] [Masters thesis]. Vanderbilt University; 2005. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-03312005-191032/ ;.

Council of Science Editors:

Joshi PV. Automatic segmentation of brain structures for radiotherapy planning. [Masters Thesis]. Vanderbilt University; 2005. Available from: http://etd.library.vanderbilt.edu/available/etd-03312005-191032/ ;


Vanderbilt University

20. Hartmann, Steven L. Intraoperative identification and display of cortical brain function.

Degree: PhD, Biomedical Engineering, 2002, Vanderbilt University

 The objective of this research was to design and develop a system capable of displaying cortical brain function during image-guided neurosurgery. Brain function was determined… (more)

Subjects/Keywords: registration; image-guided surgery; brain function

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APA (6th Edition):

Hartmann, S. L. (2002). Intraoperative identification and display of cortical brain function. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/theses/available/etd-0321102-085124/ ;

Chicago Manual of Style (16th Edition):

Hartmann, Steven L. “Intraoperative identification and display of cortical brain function.” 2002. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/theses/available/etd-0321102-085124/ ;.

MLA Handbook (7th Edition):

Hartmann, Steven L. “Intraoperative identification and display of cortical brain function.” 2002. Web. 24 Jan 2020.

Vancouver:

Hartmann SL. Intraoperative identification and display of cortical brain function. [Internet] [Doctoral dissertation]. Vanderbilt University; 2002. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/theses/available/etd-0321102-085124/ ;.

Council of Science Editors:

Hartmann SL. Intraoperative identification and display of cortical brain function. [Doctoral Dissertation]. Vanderbilt University; 2002. Available from: http://etd.library.vanderbilt.edu/theses/available/etd-0321102-085124/ ;


Vanderbilt University

21. Arlinghaus, Lori R. Investigating tract-specific changes in white matter with diffusion tensor imaging.

Degree: PhD, Biomedical Engineering, 2009, Vanderbilt University

 Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that provides information about the organization and structural integrity of tissue. It has become… (more)

Subjects/Keywords: Schizophrenia  – Imaging; Williams syndrome  – Imaging; fiber tracking; Diffusion tensor imaging; Image registration; Brain  – Magnetic resonance imaging

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APA (6th Edition):

Arlinghaus, L. R. (2009). Investigating tract-specific changes in white matter with diffusion tensor imaging. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-01152009-125138/ ;

Chicago Manual of Style (16th Edition):

Arlinghaus, Lori R. “Investigating tract-specific changes in white matter with diffusion tensor imaging.” 2009. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-01152009-125138/ ;.

MLA Handbook (7th Edition):

Arlinghaus, Lori R. “Investigating tract-specific changes in white matter with diffusion tensor imaging.” 2009. Web. 24 Jan 2020.

Vancouver:

Arlinghaus LR. Investigating tract-specific changes in white matter with diffusion tensor imaging. [Internet] [Doctoral dissertation]. Vanderbilt University; 2009. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-01152009-125138/ ;.

Council of Science Editors:

Arlinghaus LR. Investigating tract-specific changes in white matter with diffusion tensor imaging. [Doctoral Dissertation]. Vanderbilt University; 2009. Available from: http://etd.library.vanderbilt.edu/available/etd-01152009-125138/ ;


Vanderbilt University

22. Balachandran, Ramya. Measurement and analysis of error in rigid-body point-based registration systems.

Degree: PhD, Computer Science, 2008, Vanderbilt University

 Registration is the process of determining the geometrical transformation that aligns points in one space to corresponding points in another space. Many image-guidance surgical systems… (more)

Subjects/Keywords: virtual targets; validation; compromised marker; error distribution; fiducial registration; point-based registration

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APA (6th Edition):

Balachandran, R. (2008). Measurement and analysis of error in rigid-body point-based registration systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-03292008-152843/ ;

Chicago Manual of Style (16th Edition):

Balachandran, Ramya. “Measurement and analysis of error in rigid-body point-based registration systems.” 2008. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu//available/etd-03292008-152843/ ;.

MLA Handbook (7th Edition):

Balachandran, Ramya. “Measurement and analysis of error in rigid-body point-based registration systems.” 2008. Web. 24 Jan 2020.

Vancouver:

Balachandran R. Measurement and analysis of error in rigid-body point-based registration systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2008. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu//available/etd-03292008-152843/ ;.

Council of Science Editors:

Balachandran R. Measurement and analysis of error in rigid-body point-based registration systems. [Doctoral Dissertation]. Vanderbilt University; 2008. Available from: http://etd.library.vanderbilt.edu//available/etd-03292008-152843/ ;


Vanderbilt University

23. Bass, Wayne Andrew. Patient-Image Registration using A-mode ultrasound localization of features.

Degree: PhD, Biomedical Engineering, 2003, Vanderbilt University

 The objective of this dissertation is to investigate the accuracy of point and surface based image space to physical space registration performed using a spatially… (more)

Subjects/Keywords: neurosurgery; physical space; ultrasound; registration

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APA (6th Edition):

Bass, W. A. (2003). Patient-Image Registration using A-mode ultrasound localization of features. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03172003-105421/ ;

Chicago Manual of Style (16th Edition):

Bass, Wayne Andrew. “Patient-Image Registration using A-mode ultrasound localization of features.” 2003. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-03172003-105421/ ;.

MLA Handbook (7th Edition):

Bass, Wayne Andrew. “Patient-Image Registration using A-mode ultrasound localization of features.” 2003. Web. 24 Jan 2020.

Vancouver:

Bass WA. Patient-Image Registration using A-mode ultrasound localization of features. [Internet] [Doctoral dissertation]. Vanderbilt University; 2003. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-03172003-105421/ ;.

Council of Science Editors:

Bass WA. Patient-Image Registration using A-mode ultrasound localization of features. [Doctoral Dissertation]. Vanderbilt University; 2003. Available from: http://etd.library.vanderbilt.edu/available/etd-03172003-105421/ ;


Vanderbilt University

24. Sinha, Tuhin Kumar. Cortical surface characterization using a laser range scanner for neurosurgery.

Degree: PhD, Biomedical Engineering, 2004, Vanderbilt University

 This dissertation covers research regarding the use of laser range scanning (LRS) during neurosurgery. Impetus for this work stems from the desire to provide relevant… (more)

Subjects/Keywords: neurosurgery; visualization; laser range scanner; image guided surgery; brain shfit; registration

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APA (6th Edition):

Sinha, T. K. (2004). Cortical surface characterization using a laser range scanner for neurosurgery. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-11302004-195847/ ;

Chicago Manual of Style (16th Edition):

Sinha, Tuhin Kumar. “Cortical surface characterization using a laser range scanner for neurosurgery.” 2004. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-11302004-195847/ ;.

MLA Handbook (7th Edition):

Sinha, Tuhin Kumar. “Cortical surface characterization using a laser range scanner for neurosurgery.” 2004. Web. 24 Jan 2020.

Vancouver:

Sinha TK. Cortical surface characterization using a laser range scanner for neurosurgery. [Internet] [Doctoral dissertation]. Vanderbilt University; 2004. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-11302004-195847/ ;.

Council of Science Editors:

Sinha TK. Cortical surface characterization using a laser range scanner for neurosurgery. [Doctoral Dissertation]. Vanderbilt University; 2004. Available from: http://etd.library.vanderbilt.edu/available/etd-11302004-195847/ ;


Vanderbilt University

25. de Juan, Christina Nereida. Cartoon Textures: Re-Using Traditional Animation via Methods for Segmentation, Re-Sequencing, and Inbetweening.

Degree: PhD, Computer Science, 2006, Vanderbilt University

 A large body of traditional animation exists, both from television and film, which contains many interesting characters and animation sequences. This dissertation shows how to… (more)

Subjects/Keywords: Keyframe Animation; 2-D Animation; Manifold Learning; Image Processing; Animation (Cinematography); Cartoon characters  – Data processing

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APA (6th Edition):

de Juan, C. N. (2006). Cartoon Textures: Re-Using Traditional Animation via Methods for Segmentation, Re-Sequencing, and Inbetweening. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03292006-164036/ ;

Chicago Manual of Style (16th Edition):

de Juan, Christina Nereida. “Cartoon Textures: Re-Using Traditional Animation via Methods for Segmentation, Re-Sequencing, and Inbetweening.” 2006. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-03292006-164036/ ;.

MLA Handbook (7th Edition):

de Juan, Christina Nereida. “Cartoon Textures: Re-Using Traditional Animation via Methods for Segmentation, Re-Sequencing, and Inbetweening.” 2006. Web. 24 Jan 2020.

Vancouver:

de Juan CN. Cartoon Textures: Re-Using Traditional Animation via Methods for Segmentation, Re-Sequencing, and Inbetweening. [Internet] [Doctoral dissertation]. Vanderbilt University; 2006. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-03292006-164036/ ;.

Council of Science Editors:

de Juan CN. Cartoon Textures: Re-Using Traditional Animation via Methods for Segmentation, Re-Sequencing, and Inbetweening. [Doctoral Dissertation]. Vanderbilt University; 2006. Available from: http://etd.library.vanderbilt.edu/available/etd-03292006-164036/ ;


Vanderbilt University

26. Norris, Patrick Roger. Toward New Vital Signs: Tools and Methods for Dense Physiologic Data Capture, Analysis, and Decision Support in Critical Care.

Degree: PhD, Biomedical Engineering, 2006, Vanderbilt University

 Fundamental clinical approaches for assessing patient vital signs have changed little since the first invasive blood pressure measurements were made over 100 years ago. Interpreting… (more)

Subjects/Keywords: heart rate variability; patient monitoring; critical care; trauma; medical informatics; Vital signs  – Measurement; Decision support systems

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APA (6th Edition):

Norris, P. R. (2006). Toward New Vital Signs: Tools and Methods for Dense Physiologic Data Capture, Analysis, and Decision Support in Critical Care. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-04022006-161638/ ;

Chicago Manual of Style (16th Edition):

Norris, Patrick Roger. “Toward New Vital Signs: Tools and Methods for Dense Physiologic Data Capture, Analysis, and Decision Support in Critical Care.” 2006. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-04022006-161638/ ;.

MLA Handbook (7th Edition):

Norris, Patrick Roger. “Toward New Vital Signs: Tools and Methods for Dense Physiologic Data Capture, Analysis, and Decision Support in Critical Care.” 2006. Web. 24 Jan 2020.

Vancouver:

Norris PR. Toward New Vital Signs: Tools and Methods for Dense Physiologic Data Capture, Analysis, and Decision Support in Critical Care. [Internet] [Doctoral dissertation]. Vanderbilt University; 2006. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-04022006-161638/ ;.

Council of Science Editors:

Norris PR. Toward New Vital Signs: Tools and Methods for Dense Physiologic Data Capture, Analysis, and Decision Support in Critical Care. [Doctoral Dissertation]. Vanderbilt University; 2006. Available from: http://etd.library.vanderbilt.edu/available/etd-04022006-161638/ ;


Vanderbilt University

27. Xu, Ning. Correction of image distortion in echo planar image series using phase and intensity.

Degree: PhD, Computer Science, 2008, Vanderbilt University

 Among all magnetic resonance imaging sequences, gradient-echo (GE) echo-planar imaging (EPI) has become the most common technique for the study of dynamic brain function and… (more)

Subjects/Keywords: distortion correction; Image registration; Echo-planar imaging; MRI; Brain  – Magnetic resonance imaging

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APA (6th Edition):

Xu, N. (2008). Correction of image distortion in echo planar image series using phase and intensity. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-02212008-110916/ ;

Chicago Manual of Style (16th Edition):

Xu, Ning. “Correction of image distortion in echo planar image series using phase and intensity.” 2008. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-02212008-110916/ ;.

MLA Handbook (7th Edition):

Xu, Ning. “Correction of image distortion in echo planar image series using phase and intensity.” 2008. Web. 24 Jan 2020.

Vancouver:

Xu N. Correction of image distortion in echo planar image series using phase and intensity. [Internet] [Doctoral dissertation]. Vanderbilt University; 2008. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-02212008-110916/ ;.

Council of Science Editors:

Xu N. Correction of image distortion in echo planar image series using phase and intensity. [Doctoral Dissertation]. Vanderbilt University; 2008. Available from: http://etd.library.vanderbilt.edu/available/etd-02212008-110916/ ;


Vanderbilt University

28. Ou, Jao Jih. Development of Modality-Independent Elastography as a Method of Breast Cancer Detection.

Degree: PhD, Biomedical Engineering, 2008, Vanderbilt University

 Early detection of breast lesions with malignant potential plays an important role in patient prognosis and survival. While X-ray mammography is the current clinical standard… (more)

Subjects/Keywords: elastography; image registration; finite-element modeling; image processing; breast tumor; Breast  – Imaging; Breast  – Cancer  – Diagnosis; Elasticity; Tissues  – Mechanical properties

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APA (6th Edition):

Ou, J. J. (2008). Development of Modality-Independent Elastography as a Method of Breast Cancer Detection. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03272008-153047/ ;

Chicago Manual of Style (16th Edition):

Ou, Jao Jih. “Development of Modality-Independent Elastography as a Method of Breast Cancer Detection.” 2008. Doctoral Dissertation, Vanderbilt University. Accessed January 24, 2020. http://etd.library.vanderbilt.edu/available/etd-03272008-153047/ ;.

MLA Handbook (7th Edition):

Ou, Jao Jih. “Development of Modality-Independent Elastography as a Method of Breast Cancer Detection.” 2008. Web. 24 Jan 2020.

Vancouver:

Ou JJ. Development of Modality-Independent Elastography as a Method of Breast Cancer Detection. [Internet] [Doctoral dissertation]. Vanderbilt University; 2008. [cited 2020 Jan 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-03272008-153047/ ;.

Council of Science Editors:

Ou JJ. Development of Modality-Independent Elastography as a Method of Breast Cancer Detection. [Doctoral Dissertation]. Vanderbilt University; 2008. Available from: http://etd.library.vanderbilt.edu/available/etd-03272008-153047/ ;

.