Conventional methods of estimating deformation optically often compare image intensities before and after deformation to help estimate the strain fields. However, these current meth ods often introduce undesirable error that propagates through the system, growing larger through each strain calculation. These errors create false, concentrated regions of strain throughout the image. Additionally, gathering and evaluating images in three- and four dimensional space creates even more difficulty for conventional methods. Here, by imple menting new techniques of gathering four-dimensional ultrasound data sets and calculating deformation fields with traditional errors reduced three-fold, four-dimensional images were evaluated to create a novel visualization tool used for representing the strains in a four dimensional modeling world. In general, this computer program has applications across a wide range of disciplines.
","abstract_html":"<p>Conventional methods of estimating deformation optically often compare image intensities before and after deformation to help estimate the strain fields. However, these current meth ods often introduce undesirable error that propagates through the system, growing larger through each strain calculation. These errors create false, concentrated regions of strain throughout the image. Additionally, gathering and evaluating images in three- and four dimensional space creates even more difficulty for conventional methods. Here, by imple menting new techniques of gathering four-dimensional ultrasound data sets and calculating deformation fields with traditional errors reduced three-fold, four-dimensional images were evaluated to create a novel visualization tool used for representing the strains in a four dimensional modeling world. In general, this computer program has applications across a wide range of disciplines.</p>","abstract_has_math":false,"creators":["Middleton, Kenna"],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Mechanical Engineering & Materials Science","degree_department":null,"school":null,"contributors":["Dr. Phil Bayly","Dr. Guy Genin, Dr. Robert Pless, Dr. Srikanth Singamaneni"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-12-15T08:00:00Z","date_published":"2015-12-15T08:00:00Z","updated_at":"2026-07-24T06:13:31Z","subjects":["Strain mapping","mouse heart","Engineering","Other Medicine and Health Sciences"],"languages":["English (en)"],"rights":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://openscholarship.wustl.edu/eng_etds/123"],"render_values":[{"text":"https://openscholarship.wustl.edu/eng_etds/123","href":"https://openscholarship.wustl.edu/eng_etds/123","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.7936/K7D50K7V","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dr. Phil Bayly","Dr. Guy Genin, Dr. Robert Pless, Dr. Srikanth Singamaneni"]},{"key":"dc:creator","label":"Author","values":["Middleton, Kenna"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2016-01-04T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering & Materials Science","McKelvey School of Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Strain mapping","mouse heart","Engineering","Other Medicine and Health Sciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English (en)"]},{"key":"dc:rights","label":"Dc Rights","values":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.7936/K7D50K7V","https://openscholarship.wustl.edu/eng_etds/123"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Permanent URL: https://doi.org/10.7936/K7D50K7V"]},{"key":"dc:description.abstract","label":"Abstract","values":["Conventional methods of estimating deformation optically often compare image intensities before and after deformation to help estimate the strain fields. However, these current meth ods often introduce undesirable error that propagates through the system, growing larger through each strain calculation. These errors create false, concentrated regions of strain throughout the image. Additionally, gathering and evaluating images in three- and four dimensional space creates even more difficulty for conventional methods. Here, by imple menting new techniques of gathering four-dimensional ultrasound data sets and calculating deformation fields with traditional errors reduced three-fold, four-dimensional images were evaluated to create a novel visualization tool used for representing the strains in a four dimensional modeling world. In general, this computer program has applications across a wide range of disciplines.
"]},{"key":"dc:title","label":"Title","values":["Segmentation and Strain Mapping of a Beating Heart"]}]}],"canonical_facts":{"dc:contributor":["Dr. Phil Bayly","Dr. Guy Genin, Dr. Robert Pless, Dr. Srikanth Singamaneni"],"dc:creator":["Middleton, Kenna"],"dc:date.available":["2016-01-04T08:00:00Z"],"dc:description":["Permanent URL: https://doi.org/10.7936/K7D50K7V"],"dc:description.abstract":["Conventional methods of estimating deformation optically often compare image intensities before and after deformation to help estimate the strain fields. However, these current meth ods often introduce undesirable error that propagates through the system, growing larger through each strain calculation. These errors create false, concentrated regions of strain throughout the image. Additionally, gathering and evaluating images in three- and four dimensional space creates even more difficulty for conventional methods. Here, by imple menting new techniques of gathering four-dimensional ultrasound data sets and calculating deformation fields with traditional errors reduced three-fold, four-dimensional images were evaluated to create a novel visualization tool used for representing the strains in a four dimensional modeling world. In general, this computer program has applications across a wide range of disciplines.
"],"dc:identifier":["https://doi.org/10.7936/K7D50K7V","https://openscholarship.wustl.edu/eng_etds/123"],"dc:language":["English (en)"],"dc:rights":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."],"dc:subject":["Strain mapping","mouse heart","Engineering","Other Medicine and Health Sciences"],"dc:title":["Segmentation and Strain Mapping of a Beating Heart"],"thesis:degree_discipline":["Mechanical Engineering & Materials Science","McKelvey School of Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T06:13:31Z"}