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You searched for +publisher:"Vanderbilt University" +contributor:("Dr. Michael I. Miga"). Showing records 1 – 2 of 2 total matches.

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1. Glisson, Courtenay Locke. Comparison and assessment of semiautomatic image segmentation in computed tomography scans of the kidney.

Degree: MS, Biomedical Engineering, 2010, Vanderbilt University

Segmentation, or delineation of the boundaries of a region of interest, is an integral part of implementing intraoperative image guidance for kidney tumor resection. Results are affected by the kidney's physiology and pathology as seen in 3-D image data sets, as well as by the methods guiding contour growth. This work explores the variables involved in using level set methods to segment the kidney from computed tomography (CT) images. Multiple level set classes found in the Insight Toolkit were utilized to build a single, semi-automatic segmentation algorithm. This algorithm takes seed points and the image's contrast state as user input and functions independently thereafter. Comparison of the semi-automatic algorithm to an expert's hand-delineation of boundaries, hereafter "handsegmentation," showed that the algorithm performed well both for the images used in its creation and for new image sets. The algorithm also showed lower variability between raters than did handsegmentation. The automatic method's ability to function in a realistic image guidance situation was also evaluated. For three open kidney surgical cases, intraoperative laser range scans were registered to surfaces generated by both handsegmentation and the semi-automatic algorithm. Mean closest point distances between these registered surfaces as well as visual inspection of the distribution of closest point distances showed that the semi-automatic method provided a surface for registration which was comparable to handsegmentation. The inverse of each resultant transformation from these registrations was applied to CT image points, and variability introduced by the different transformations was found to be low, supporting the comparability of the autosegmentation to handsegmentation. Advisors/Committee Members: Dr. Robert L. Galloway (committee member), Dr. Michael I. Miga (committee member).

Subjects/Keywords: image guidance; image processing; segmentation; kidney

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Glisson, C. L. (2010). Comparison and assessment of semiautomatic image segmentation in computed tomography scans of the kidney. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03312010-174848/ ;

Chicago Manual of Style (16th Edition):

Glisson, Courtenay Locke. “Comparison and assessment of semiautomatic image segmentation in computed tomography scans of the kidney.” 2010. Masters Thesis, Vanderbilt University. Accessed January 23, 2020. http://etd.library.vanderbilt.edu/available/etd-03312010-174848/ ;.

MLA Handbook (7th Edition):

Glisson, Courtenay Locke. “Comparison and assessment of semiautomatic image segmentation in computed tomography scans of the kidney.” 2010. Web. 23 Jan 2020.

Vancouver:

Glisson CL. Comparison and assessment of semiautomatic image segmentation in computed tomography scans of the kidney. [Internet] [Masters thesis]. Vanderbilt University; 2010. [cited 2020 Jan 23]. Available from: http://etd.library.vanderbilt.edu/available/etd-03312010-174848/ ;.

Council of Science Editors:

Glisson CL. Comparison and assessment of semiautomatic image segmentation in computed tomography scans of the kidney. [Masters Thesis]. Vanderbilt University; 2010. Available from: http://etd.library.vanderbilt.edu/available/etd-03312010-174848/ ;

2. Barnes, Stephanie Lynne. Interrogation of the Limitations and Capabilities of the Model-Gel-Tissue Assay and Application to Soft Tissue Modulus Evaluation.

Degree: PhD, Biomedical Engineering, 2011, Vanderbilt University

The correlation between changes in mechanical properties and the onset of disease has led to an increased interest in assessing the elastic modulus of soft tissues as a biomarker for disease progression. In addition, soft tissue mechanical properties are desired for biomechanical modeling for surgical procedure planning and intraoperative guidance. Unfortunately, soft tissue modulus evaluation has proven inherently difficult due to tissue consistency and shape, and the approaches are highly variant. The work presented in this thesis focuses on the development, application, and interrogation of a novel soft tissue mechanical property evaluation technique, termed the Model-Gel-Tissue (MGT) assay, which utilizes a combination of a gel embedding process, direct mechanical testing, and computational modeling to analyze the elastic properties of a soft tissue sample. The goal was to develop a repeatable and adaptable evaluation technique that also allowed for irregularly shaped specimens and standardization of the implementation. This was accomplished by a rapid-embedding of the tissue in a gel with surfaces of known and uniform shape. The mechanical testing output is then utilized in a finite element model of the system developed from computed tomography (CT) scans of the specimen, in order to evaluate the mechanical properties of the embedded tissue. Preliminary testing of the MGT assay was implemented using fibrotic murine livers to assess the capability of the technique relative to traditional indentation testing. The assay was then used to investigate the correlation between microstructural collagen content and macroscopic tissue modulus in a murine model of breast cancer. Subsequently, the assay was used to investigate the propensity of modulus as an indicator of treatment resistance in a second murine model of breast cancer. Finally, extensive sensitivity tests were performed to qualify the fidelity of the system. The results of this work show that modulus assessment via the MGT assay correlates to traditional testing, as well as to tissue collagen content, and the concatenation of the work indicates that the MGT assay serves as a reliable and adaptable soft tissue modulus evaluation system. Advisors/Committee Members: Dr. Michael I. Miga (chair), Dr. John C. Gore (committee member), Dr. Robert J. Roselli (committee member), Dr. Alissa M. Weaver (committee member), Dr. Thomas E. Yankeelov (committee member).

Subjects/Keywords: finite element modeling; mechanical properties; young's modulus; elastic modulus; material testing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Barnes, S. L. (2011). Interrogation of the Limitations and Capabilities of the Model-Gel-Tissue Assay and Application to Soft Tissue Modulus Evaluation. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03242011-144611/ ;

Chicago Manual of Style (16th Edition):

Barnes, Stephanie Lynne. “Interrogation of the Limitations and Capabilities of the Model-Gel-Tissue Assay and Application to Soft Tissue Modulus Evaluation.” 2011. Doctoral Dissertation, Vanderbilt University. Accessed January 23, 2020. http://etd.library.vanderbilt.edu/available/etd-03242011-144611/ ;.

MLA Handbook (7th Edition):

Barnes, Stephanie Lynne. “Interrogation of the Limitations and Capabilities of the Model-Gel-Tissue Assay and Application to Soft Tissue Modulus Evaluation.” 2011. Web. 23 Jan 2020.

Vancouver:

Barnes SL. Interrogation of the Limitations and Capabilities of the Model-Gel-Tissue Assay and Application to Soft Tissue Modulus Evaluation. [Internet] [Doctoral dissertation]. Vanderbilt University; 2011. [cited 2020 Jan 23]. Available from: http://etd.library.vanderbilt.edu/available/etd-03242011-144611/ ;.

Council of Science Editors:

Barnes SL. Interrogation of the Limitations and Capabilities of the Model-Gel-Tissue Assay and Application to Soft Tissue Modulus Evaluation. [Doctoral Dissertation]. Vanderbilt University; 2011. Available from: http://etd.library.vanderbilt.edu/available/etd-03242011-144611/ ;

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