{"id":{"repo_id":"uwo","oai_identifier":"oai:uwo.scholaris.ca:20.500.14721/34545"},"canonical_url":"https://search.dev.ndltd.org/etd/uwo/oai:uwo.scholaris.ca:20.500.14721/34545","repository":{"repo_id":"uwo","name":"Western University","base_url":"https://uwo.scholaris.ca/server/oai/request"},"display":{"title":"Prostate Tissue Motion Tracking and Ultrasound Elastography Using Tissue Mechanics Derived Constraints","abstract":"Current prostate cancer detection methods can be costly to obtain, such as magnetic resonance imaging, or lack specificity, such as a digital rectal exam. Ultrasound elastography, a method that can be used to develop and test algorithms that output stiffness, strain, and displacement data captured by ultrasound radio frequency readings, offers a potential solution to these challenges. An initial algorithm utilizing dynamic programming and analytic minimization estimates the radial and angular displacements from a pre- and post-compression data set to determine the required material properties. This estimate of displacements is then refined through an algorithm where incompressibility, Laplacian smoothing, and strain compatibility are enforced. The refined displacement field can generate a strain image of the prostate. Material properties such as Young’s modulus, Poisson’s ratio, and shear modulus can be iteratively reconstructed using finite element analysis to enhance the output images further. The material property calculation process, known for its accuracy, yields informative results to clinicians when diagnosing prostate malignancies.","abstract_html":"Current prostate cancer detection methods can be costly to obtain, such as magnetic resonance imaging, or lack specificity, such as a digital rectal exam. Ultrasound elastography, a method that can be used to develop and test algorithms that output stiffness, strain, and displacement data captured by ultrasound radio frequency readings, offers a potential solution to these challenges. An initial algorithm utilizing dynamic programming and analytic minimization estimates the radial and angular displacements from a pre- and post-compression data set to determine the required material properties. This estimate of displacements is then refined through an algorithm where incompressibility, Laplacian smoothing, and strain compatibility are enforced. The refined displacement field can generate a strain image of the prostate. Material properties such as Young’s modulus, Poisson’s ratio, and shear modulus can be iteratively reconstructed using finite element analysis to enhance the output images further. The material property calculation process, known for its accuracy, yields informative results to clinicians when diagnosing prostate malignancies.","abstract_has_math":false,"creators":["Curry, Tristan S"],"institution":"The University of Western Ontario","degree_name":"M Eng Sci","degree_level":null,"degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Samani, Abbas"],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-08-23","date_published":"2024-08-23","updated_at":"2026-07-27T21:56:03Z","subjects":["Prostate Cancer","Ultrasound Elastography","Tissue Mimicking Phantom","Finite Element Modelling","Oncology","Trans Rectal Ultrasound"],"languages":["en_ca"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/20.500.14721/34545","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Samani, Abbas"]},{"key":"dc:creator","label":"Author","values":["Curry, Tristan S"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-07-10T20:05:17Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-07-10T20:05:17Z"]},{"key":"dc:date.issued","label":"Date","values":["2024-08-23"]},{"key":"dc:publisher","label":"Institution","values":["The University of Western Ontario"]},{"key":"dc:type","label":"Dc Type","values":["thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M Eng Sci"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Prostate Cancer","Ultrasound Elastography","Tissue Mimicking Phantom","Finite Element Modelling","Oncology","Trans Rectal Ultrasound"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_ca"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/20.500.14721/34545"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The thesis cover page in the PDF document includes references to Western University’s previous institutional repository platform, known as Scholarship@Western, and links to that platform (beginning with ir.lib.uwo.ca). In citing or referring to this thesis, use the DOI or handle from this page instead. Sample citation: Author name, \"Thesis title.\" (Year). Western University Open Repository. https://doi.org/10.71858/123456."]},{"key":"dc:description.abstract","label":"Abstract","values":["Current prostate cancer detection methods can be costly to obtain, such as magnetic resonance imaging, or lack specificity, such as a digital rectal exam. Ultrasound elastography, a method that can be used to develop and test algorithms that output stiffness, strain, and displacement data captured by ultrasound radio frequency readings, offers a potential solution to these challenges. An initial algorithm utilizing dynamic programming and analytic minimization estimates the radial and angular displacements from a pre- and post-compression data set to determine the required material properties. This estimate of displacements is then refined through an algorithm where incompressibility, Laplacian smoothing, and strain compatibility are enforced. The refined displacement field can generate a strain image of the prostate. Material properties such as Young’s modulus, Poisson’s ratio, and shear modulus can be iteratively reconstructed using finite element analysis to enhance the output images further. The material property calculation process, known for its accuracy, yields informative results to clinicians when diagnosing prostate malignancies."]},{"key":"dc:title","label":"Title","values":["Prostate Tissue Motion Tracking and Ultrasound Elastography Using Tissue Mechanics Derived Constraints"]}]}],"canonical_facts":{"dc:contributor.advisor":["Samani, Abbas"],"dc:creator":["Curry, Tristan S"],"dc:date.accessioned":["2025-07-10T20:05:17Z"],"dc:date.available":["2025-07-10T20:05:17Z"],"dc:date.issued":["2024-08-23"],"dc:description":["The thesis cover page in the PDF document includes references to Western University’s previous institutional repository platform, known as Scholarship@Western, and links to that platform (beginning with ir.lib.uwo.ca). In citing or referring to this thesis, use the DOI or handle from this page instead. Sample citation: Author name, \"Thesis title.\" (Year). Western University Open Repository. https://doi.org/10.71858/123456."],"dc:description.abstract":["Current prostate cancer detection methods can be costly to obtain, such as magnetic resonance imaging, or lack specificity, such as a digital rectal exam. Ultrasound elastography, a method that can be used to develop and test algorithms that output stiffness, strain, and displacement data captured by ultrasound radio frequency readings, offers a potential solution to these challenges. An initial algorithm utilizing dynamic programming and analytic minimization estimates the radial and angular displacements from a pre- and post-compression data set to determine the required material properties. This estimate of displacements is then refined through an algorithm where incompressibility, Laplacian smoothing, and strain compatibility are enforced. The refined displacement field can generate a strain image of the prostate. Material properties such as Young’s modulus, Poisson’s ratio, and shear modulus can be iteratively reconstructed using finite element analysis to enhance the output images further. The material property calculation process, known for its accuracy, yields informative results to clinicians when diagnosing prostate malignancies."],"dc:identifier.uri":["https://hdl.handle.net/20.500.14721/34545"],"dc:language.iso":["en_ca"],"dc:publisher":["The University of Western Ontario"],"dc:subject":["Prostate Cancer","Ultrasound Elastography","Tissue Mimicking Phantom","Finite Element Modelling","Oncology","Trans Rectal Ultrasound"],"dc:title":["Prostate Tissue Motion Tracking and Ultrasound Elastography Using Tissue Mechanics Derived Constraints"],"dc:type":["thesis"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_name":["M Eng Sci"]},"updated_at":"2026-07-27T21:56:03Z"}