{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/86654"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/86654","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Assessments of and Applications for High Spatio-Temporal Resolution X-Ray Detectors for Use in Medical Imaging","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Krebs, Jordan; 0000-0002-0576-9041"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Rudin, Stephen","Radiology"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-02-21T21:36:08Z","date_published":"2025-02-21T21:36:08Z","updated_at":"2026-07-27T19:05:34Z","subjects":["medical imaging","plastics"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/86654","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Rudin, Stephen","Radiology"]},{"key":"dc:creator","label":"Author","values":["Krebs, Jordan; 0000-0002-0576-9041"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-02-21T21:36:08Z","2020"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:relation","label":"Dc Relation","values":["Supplemental files: 14 video files named Krebs_video01.avi through Krebs_video14.avi, examples of high speed images acquired at 1000 fps using HSA."]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["medical imaging","plastics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/86654"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Endovascular image guided interventions (EIGI) are a minimally invasive alternative for the treating stroke and other vascular diseases that minimize patient discomfort and have reduced mortality and morbidity. The image quality delivered to physicians, both in spatial and temporal resolution, can influence diagnostic and treatment decisions directly related to patient outcomes. Current state-of-the-art detector systems provide sub-optimal spatial resolution for visualization of fine image detail and temporal resolution has been limited to tens of frames per second at best. The medical physics research group at the University at Buffalo's Canon Stroke and Vascular Research Center has worked to improve both these aspects of imaging detectors, including an array of region-of-interest, small field-of-view, high-resolution detectors, and a new high-speed high-resolution direct-detector capable of providing high-quality images and detailed blood flow patterns. The high-resolution properties of a region-of-interest \"Hi-Def\" detector was assessed with a family of detector metrics designated Relative Object Detectability (ROD) metrics. The ROD metrics are a task-based group of metrics that compare the relative imaging capabilities of different detector systems. The ROD metric is the product of a detector DQE and a simulated object function, integrated over all spatial frequencies, and divided by the respective integral of another detector. This metric gives an idealized comparison of the performance of two imaging systems in detecting specific objects. Another metric from the ROD family is the Generalized Relative Object Detectability (G-ROD) metric. This metric is calculated in a manner similar to the ROD metric but uses the Generalized DQE (G-DQE) which takes into account elements of the detector system such as focal spot size, scatter, etc. The final metric calculated was the Generalized Measured Relative Object Detectability (GM-ROD). The GM-ROD is measured using images of real objects, which gives the most accurate comparison of detector systems relative performance. The GM-ROD is calculated from the ratio of the square of the Fourier transform of the object's image, divided by the generalized NNPS (GNNPS), integrated over all spatial frequencies, and divided by the respective integral of another detector. The bulk of this dissertation is principally concerned with the effects of high-speed motion and the application of high-speed detectors to new challenges. The first question examined is the effect of motion blur due to rapid gantry-motion, particularly during the acquisition of Cone-Beam CT (CBCT). The magnitude of the blur in individual projections is examined in relation to different factors such as gantry speed, object position, and x-ray pulse duration. This study was followed up by examining the contributions of individual projections to reconstructions. To do this, a detailed phantom was simulated and individual projections were intentionally blurred. From these blurred projections, the initial phantom was reconstructed using filtered backprojection, the reconstructed image was compared to the initial phantom, and the magnitude of blur was measured.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf","video/avi"]},{"key":"dc:title","label":"Title","values":["Assessments of and Applications for High Spatio-Temporal Resolution X-Ray Detectors for Use in Medical Imaging"]}]}],"canonical_facts":{"dc:contributor":["Rudin, Stephen","Radiology"],"dc:creator":["Krebs, Jordan; 0000-0002-0576-9041"],"dc:date":["2025-02-21T21:36:08Z","2020"],"dc:description":["Ph.D.","Endovascular image guided interventions (EIGI) are a minimally invasive alternative for the treating stroke and other vascular diseases that minimize patient discomfort and have reduced mortality and morbidity. The image quality delivered to physicians, both in spatial and temporal resolution, can influence diagnostic and treatment decisions directly related to patient outcomes. Current state-of-the-art detector systems provide sub-optimal spatial resolution for visualization of fine image detail and temporal resolution has been limited to tens of frames per second at best. The medical physics research group at the University at Buffalo's Canon Stroke and Vascular Research Center has worked to improve both these aspects of imaging detectors, including an array of region-of-interest, small field-of-view, high-resolution detectors, and a new high-speed high-resolution direct-detector capable of providing high-quality images and detailed blood flow patterns. The high-resolution properties of a region-of-interest \"Hi-Def\" detector was assessed with a family of detector metrics designated Relative Object Detectability (ROD) metrics. The ROD metrics are a task-based group of metrics that compare the relative imaging capabilities of different detector systems. The ROD metric is the product of a detector DQE and a simulated object function, integrated over all spatial frequencies, and divided by the respective integral of another detector. This metric gives an idealized comparison of the performance of two imaging systems in detecting specific objects. Another metric from the ROD family is the Generalized Relative Object Detectability (G-ROD) metric. This metric is calculated in a manner similar to the ROD metric but uses the Generalized DQE (G-DQE) which takes into account elements of the detector system such as focal spot size, scatter, etc. The final metric calculated was the Generalized Measured Relative Object Detectability (GM-ROD). The GM-ROD is measured using images of real objects, which gives the most accurate comparison of detector systems relative performance. The GM-ROD is calculated from the ratio of the square of the Fourier transform of the object's image, divided by the generalized NNPS (GNNPS), integrated over all spatial frequencies, and divided by the respective integral of another detector. The bulk of this dissertation is principally concerned with the effects of high-speed motion and the application of high-speed detectors to new challenges. The first question examined is the effect of motion blur due to rapid gantry-motion, particularly during the acquisition of Cone-Beam CT (CBCT). The magnitude of the blur in individual projections is examined in relation to different factors such as gantry speed, object position, and x-ray pulse duration. This study was followed up by examining the contributions of individual projections to reconstructions. To do this, a detailed phantom was simulated and individual projections were intentionally blurred. From these blurred projections, the initial phantom was reconstructed using filtered backprojection, the reconstructed image was compared to the initial phantom, and the magnitude of blur was measured.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf","video/avi"],"dc:identifier":["http://hdl.handle.net/10477/86654"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:relation":["Supplemental files: 14 video files named Krebs_video01.avi through Krebs_video14.avi, examples of high speed images acquired at 1000 fps using HSA."],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["medical imaging","plastics"],"dc:title":["Assessments of and Applications for High Spatio-Temporal Resolution X-Ray Detectors for Use in Medical Imaging"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:34Z"}