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You searched for +publisher:"University of Michigan" +contributor:("Balter, James M."). Showing records 1 – 12 of 12 total matches.

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University of Michigan

1. Le, Mai. Reconstruction Methods for Free-Breathing Dynamic Contrast-Enhanced MRI.

Degree: PhD, Electrical Engineering: Systems, 2017, University of Michigan

 Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a valuable diagnostic tool due to the combination of anatomical and physiological information it provides. However, the sequential… (more)

Subjects/Keywords: MRI reconstruction; Dynamic Contrast-Enhanced MRI; Variable Splitting Methods for Image Reconstruction; Electrical Engineering; Engineering

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APA (6th Edition):

Le, M. (2017). Reconstruction Methods for Free-Breathing Dynamic Contrast-Enhanced MRI. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138498

Chicago Manual of Style (16th Edition):

Le, Mai. “Reconstruction Methods for Free-Breathing Dynamic Contrast-Enhanced MRI.” 2017. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/138498.

MLA Handbook (7th Edition):

Le, Mai. “Reconstruction Methods for Free-Breathing Dynamic Contrast-Enhanced MRI.” 2017. Web. 15 Jan 2021.

Vancouver:

Le M. Reconstruction Methods for Free-Breathing Dynamic Contrast-Enhanced MRI. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/138498.

Council of Science Editors:

Le M. Reconstruction Methods for Free-Breathing Dynamic Contrast-Enhanced MRI. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138498


University of Michigan

2. Long, Yong. Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy.

Degree: PhD, Electrical Engineering: Systems, 2011, University of Michigan

 Image reconstruction and motion estimation are very important for image-guided radiotherapy (IGRT). Three-dimensional reconstruction of patient anatomy using X-ray computed tomography (CT) allows identification of… (more)

Subjects/Keywords: X-Ray CT; Statistical Image Reconstruction; Image-Guided Radiotherapy; Image Registration; Forward and Back-projection; Dual-Energy CT; Electrical Engineering; Engineering

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APA (6th Edition):

Long, Y. (2011). Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86254

Chicago Manual of Style (16th Edition):

Long, Yong. “Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy.” 2011. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/86254.

MLA Handbook (7th Edition):

Long, Yong. “Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy.” 2011. Web. 15 Jan 2021.

Vancouver:

Long Y. Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/86254.

Council of Science Editors:

Long Y. Statistical Image Reconstruction and Motion Estimation for Image-Guided Radiotherapy. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86254


University of Michigan

3. Wei, Lise. Medical Image Analytics (Radiomics) with Machine/Deeping Learning for Outcome Modeling in Radiation Oncology.

Degree: PhD, Applied Physics, 2020, University of Michigan

 Image-based quantitative analysis (radiomics) has gained great attention recently. Radiomics possesses promising potentials to be applied in the clinical practice of radiotherapy and to provide… (more)

Subjects/Keywords: machine learning; radiotherapy; radiomics; imaging; outcome modeling; cancer; Physics; Science (General); Statistics and Numeric Data; Science

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APA (6th Edition):

Wei, L. (2020). Medical Image Analytics (Radiomics) with Machine/Deeping Learning for Outcome Modeling in Radiation Oncology. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163092

Chicago Manual of Style (16th Edition):

Wei, Lise. “Medical Image Analytics (Radiomics) with Machine/Deeping Learning for Outcome Modeling in Radiation Oncology.” 2020. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/163092.

MLA Handbook (7th Edition):

Wei, Lise. “Medical Image Analytics (Radiomics) with Machine/Deeping Learning for Outcome Modeling in Radiation Oncology.” 2020. Web. 15 Jan 2021.

Vancouver:

Wei L. Medical Image Analytics (Radiomics) with Machine/Deeping Learning for Outcome Modeling in Radiation Oncology. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/163092.

Council of Science Editors:

Wei L. Medical Image Analytics (Radiomics) with Machine/Deeping Learning for Outcome Modeling in Radiation Oncology. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163092

4. Kim, Jihun. Biomechanically-Regularized Deformable Image Registration for Head and Neck Adaptive Radiation Therapy.

Degree: PhD, Mechanical Engineering, 2015, University of Michigan

 Radiation treatment (RT), one of the best treatments available for head and neck (HN) cancer, may fail to accurately target tumors and spare surrounding healthy… (more)

Subjects/Keywords: deformable image registration; adaptive radiation therapy; head and neck cancer; regularization; finite element method; Mechanical Engineering; Nuclear Engineering and Radiological Sciences; Engineering; Science

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APA (6th Edition):

Kim, J. (2015). Biomechanically-Regularized Deformable Image Registration for Head and Neck Adaptive Radiation Therapy. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113532

Chicago Manual of Style (16th Edition):

Kim, Jihun. “Biomechanically-Regularized Deformable Image Registration for Head and Neck Adaptive Radiation Therapy.” 2015. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/113532.

MLA Handbook (7th Edition):

Kim, Jihun. “Biomechanically-Regularized Deformable Image Registration for Head and Neck Adaptive Radiation Therapy.” 2015. Web. 15 Jan 2021.

Vancouver:

Kim J. Biomechanically-Regularized Deformable Image Registration for Head and Neck Adaptive Radiation Therapy. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/113532.

Council of Science Editors:

Kim J. Biomechanically-Regularized Deformable Image Registration for Head and Neck Adaptive Radiation Therapy. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113532

5. Thomas, Auresa. Development and Modeling of a Polymer Construct for Perfusion Imaging and Tissue Engineering.

Degree: PhD, Biomedical Engineering, 2014, University of Michigan

 The physical and computational modeling of distributed fluid flow to vascular beds remains a challenging issue. The computational resources required, and the complexity of capillary… (more)

Subjects/Keywords: Evaluation of Bulk Flow Through Rapid Prototyped Vascular-like Structures; Applications in Quality Assurance of Dynamic Contrast Enhanced Computed Tomography Imaging; Applications in Vascularization of Large Constructs in Dynamic Perfusion Tissue Cultures; Biomedical Engineering; Engineering

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APA (6th Edition):

Thomas, A. (2014). Development and Modeling of a Polymer Construct for Perfusion Imaging and Tissue Engineering. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107136

Chicago Manual of Style (16th Edition):

Thomas, Auresa. “Development and Modeling of a Polymer Construct for Perfusion Imaging and Tissue Engineering.” 2014. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/107136.

MLA Handbook (7th Edition):

Thomas, Auresa. “Development and Modeling of a Polymer Construct for Perfusion Imaging and Tissue Engineering.” 2014. Web. 15 Jan 2021.

Vancouver:

Thomas A. Development and Modeling of a Polymer Construct for Perfusion Imaging and Tissue Engineering. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/107136.

Council of Science Editors:

Thomas A. Development and Modeling of a Polymer Construct for Perfusion Imaging and Tissue Engineering. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107136

6. Eun, Christine K. Wireless Micromachined Gas Discharge-Based Radiation Detectors.

Degree: PhD, Electrical Engineering, 2011, University of Michigan

 Miniature, wireless radiation detector systems are potentially valuable for environmental and security monitoring. These systems can enable rapid deployment and dynamic reconfiguration of sensor networks.… (more)

Subjects/Keywords: Micro-discharges; RF Transmissions; Marconi-type Wireless Signaling; Beta Particles; Gamma Radiation; Electrical Engineering; Engineering

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APA (6th Edition):

Eun, C. K. (2011). Wireless Micromachined Gas Discharge-Based Radiation Detectors. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/84492

Chicago Manual of Style (16th Edition):

Eun, Christine K. “Wireless Micromachined Gas Discharge-Based Radiation Detectors.” 2011. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/84492.

MLA Handbook (7th Edition):

Eun, Christine K. “Wireless Micromachined Gas Discharge-Based Radiation Detectors.” 2011. Web. 15 Jan 2021.

Vancouver:

Eun CK. Wireless Micromachined Gas Discharge-Based Radiation Detectors. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/84492.

Council of Science Editors:

Eun CK. Wireless Micromachined Gas Discharge-Based Radiation Detectors. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/84492

7. Liu, Langechuan. Design Optimization Studies for Active Matrix Flat Panel Imagers Based on Segmented Crystalline Scintillators for Radiotherapy Imaging.

Degree: PhD, Physics, 2015, University of Michigan

 In this dissertation, a series of theoretical studies were performed using Monte Carlo simulation to optimize the design of active matrix flat panel imagers (AMFPIs)… (more)

Subjects/Keywords: active matrix flat panel imagers; Monte Carlo simulation; segmented scintillators; medical imaging; Physics; Science

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APA (6th Edition):

Liu, L. (2015). Design Optimization Studies for Active Matrix Flat Panel Imagers Based on Segmented Crystalline Scintillators for Radiotherapy Imaging. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/111394

Chicago Manual of Style (16th Edition):

Liu, Langechuan. “Design Optimization Studies for Active Matrix Flat Panel Imagers Based on Segmented Crystalline Scintillators for Radiotherapy Imaging.” 2015. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/111394.

MLA Handbook (7th Edition):

Liu, Langechuan. “Design Optimization Studies for Active Matrix Flat Panel Imagers Based on Segmented Crystalline Scintillators for Radiotherapy Imaging.” 2015. Web. 15 Jan 2021.

Vancouver:

Liu L. Design Optimization Studies for Active Matrix Flat Panel Imagers Based on Segmented Crystalline Scintillators for Radiotherapy Imaging. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/111394.

Council of Science Editors:

Liu L. Design Optimization Studies for Active Matrix Flat Panel Imagers Based on Segmented Crystalline Scintillators for Radiotherapy Imaging. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/111394

8. Kashani, Rojano. Uncertainties in Modeling, Prediction, and Actions in Response to Variations in Patient Geometric Models.

Degree: PhD, Nuclear Engineering & Radiological Sciences, 2009, University of Michigan

 External beam radiation therapy is an effective method for treating cancer in many body sites. Highly conformal plans can be created to provide good target… (more)

Subjects/Keywords: Deformable Registration Accuracy; Adaptive Therapy; Motion Modeling; Nuclear Engineering and Radiological Sciences; Engineering

…the Department of Radiation Oncology at the University of Michigan. Several studies… 

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APA (6th Edition):

Kashani, R. (2009). Uncertainties in Modeling, Prediction, and Actions in Response to Variations in Patient Geometric Models. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/63745

Chicago Manual of Style (16th Edition):

Kashani, Rojano. “Uncertainties in Modeling, Prediction, and Actions in Response to Variations in Patient Geometric Models.” 2009. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/63745.

MLA Handbook (7th Edition):

Kashani, Rojano. “Uncertainties in Modeling, Prediction, and Actions in Response to Variations in Patient Geometric Models.” 2009. Web. 15 Jan 2021.

Vancouver:

Kashani R. Uncertainties in Modeling, Prediction, and Actions in Response to Variations in Patient Geometric Models. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/63745.

Council of Science Editors:

Kashani R. Uncertainties in Modeling, Prediction, and Actions in Response to Variations in Patient Geometric Models. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/63745

9. Liu, Lianli. Optimizing Magnetic Resonance Imaging for Image-Guided Radiotherapy.

Degree: PhD, Electrical Engineering: Systems, 2018, University of Michigan

 Magnetic resonance imaging (MRI) is playing an increasingly important role in image-guided radiotherapy. MRI provides excellent soft tissue contrast, and is flexible in characterizing various… (more)

Subjects/Keywords: Magnetic resonance imaging; Image Analysis; Image Reconstruction; Electrical Engineering; Engineering

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APA (6th Edition):

Liu, L. (2018). Optimizing Magnetic Resonance Imaging for Image-Guided Radiotherapy. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/143919

Chicago Manual of Style (16th Edition):

Liu, Lianli. “Optimizing Magnetic Resonance Imaging for Image-Guided Radiotherapy.” 2018. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/143919.

MLA Handbook (7th Edition):

Liu, Lianli. “Optimizing Magnetic Resonance Imaging for Image-Guided Radiotherapy.” 2018. Web. 15 Jan 2021.

Vancouver:

Liu L. Optimizing Magnetic Resonance Imaging for Image-Guided Radiotherapy. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/143919.

Council of Science Editors:

Liu L. Optimizing Magnetic Resonance Imaging for Image-Guided Radiotherapy. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/143919


University of Michigan

10. Brock-Leatherman, Kristy Kay. The influence of liver deformation on four-dimensional dose calculations for radiotherapy.

Degree: PhD, Nuclear engineering, 2003, University of Michigan

 The standard treatment of liver cancer with external beam radiation is based on a static CT scan of the patient at exhale. Motion of the… (more)

Subjects/Keywords: Four-dimensional Dose Calculations; Influence; Liver Deformation; Radiotherapy

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APA (6th Edition):

Brock-Leatherman, K. K. (2003). The influence of liver deformation on four-dimensional dose calculations for radiotherapy. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/123352

Chicago Manual of Style (16th Edition):

Brock-Leatherman, Kristy Kay. “The influence of liver deformation on four-dimensional dose calculations for radiotherapy.” 2003. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/123352.

MLA Handbook (7th Edition):

Brock-Leatherman, Kristy Kay. “The influence of liver deformation on four-dimensional dose calculations for radiotherapy.” 2003. Web. 15 Jan 2021.

Vancouver:

Brock-Leatherman KK. The influence of liver deformation on four-dimensional dose calculations for radiotherapy. [Internet] [Doctoral dissertation]. University of Michigan; 2003. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/123352.

Council of Science Editors:

Brock-Leatherman KK. The influence of liver deformation on four-dimensional dose calculations for radiotherapy. [Doctoral Dissertation]. University of Michigan; 2003. Available from: http://hdl.handle.net/2027.42/123352


University of Michigan

11. Liang, Liang. Development and Application of a Random Lung Model for Dose Calculations in Radiotherapy.

Degree: PhD, Nuclear Engineering & Radiological Sciences, 2007, University of Michigan

 Radiotherapy requires accurate dose calculations in the human body, especially in disease sites with large variations of electron density in neighboring tissues, such as the… (more)

Subjects/Keywords: Lung Model; Monte Carlo Method; Heterogeneity Correction; Dose Calculation; Atomic Mix; Nuclear Engineering and Radiological Sciences; Engineering

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APA (6th Edition):

Liang, L. (2007). Development and Application of a Random Lung Model for Dose Calculations in Radiotherapy. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/57654

Chicago Manual of Style (16th Edition):

Liang, Liang. “Development and Application of a Random Lung Model for Dose Calculations in Radiotherapy.” 2007. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/57654.

MLA Handbook (7th Edition):

Liang, Liang. “Development and Application of a Random Lung Model for Dose Calculations in Radiotherapy.” 2007. Web. 15 Jan 2021.

Vancouver:

Liang L. Development and Application of a Random Lung Model for Dose Calculations in Radiotherapy. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/57654.

Council of Science Editors:

Liang L. Development and Application of a Random Lung Model for Dose Calculations in Radiotherapy. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/57654


University of Michigan

12. Ruan, Dan. Image Guided Respiratory Motion Analysis: Time Series and Image Registration.

Degree: PhD, Electrical Engineering: Systems, 2008, University of Michigan

 The efficacy of Image guided radiation therapy (IGRT) systems relies on accurately extracting, modeling and predicting tumor movement with imaging techniques. This thesis investigates two… (more)

Subjects/Keywords: Time Series Analysis; Image Registration; Statistical Signal Processing; Robust Estimation; Stochastic Approximation; Electrical Engineering; Radiology; Engineering; Health Sciences

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APA (6th Edition):

Ruan, D. (2008). Image Guided Respiratory Motion Analysis: Time Series and Image Registration. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/60673

Chicago Manual of Style (16th Edition):

Ruan, Dan. “Image Guided Respiratory Motion Analysis: Time Series and Image Registration.” 2008. Doctoral Dissertation, University of Michigan. Accessed January 15, 2021. http://hdl.handle.net/2027.42/60673.

MLA Handbook (7th Edition):

Ruan, Dan. “Image Guided Respiratory Motion Analysis: Time Series and Image Registration.” 2008. Web. 15 Jan 2021.

Vancouver:

Ruan D. Image Guided Respiratory Motion Analysis: Time Series and Image Registration. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2021 Jan 15]. Available from: http://hdl.handle.net/2027.42/60673.

Council of Science Editors:

Ruan D. Image Guided Respiratory Motion Analysis: Time Series and Image Registration. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/60673

.