Carleton University
Motion Detection in Dynamic Cardiac Positron Emission Tomography Images
Abstract
dc:description.abstractDynamic PET is being increasingly utilized to quantify myocardial blood flow, leading to improved diagnostic and prognostic value for the management of coronary artery disease. MBF quantification assumes constant positioning of anatomical structures throughout image acquisition. This assumption is violated in the presence of patient motion and heart motion. This thesis discusses methods for motion detection in dynamic cardiac 82Rb PET images.First, we determined if positron-emitting fiducial markers can be used as surrogate markers for heart motion in dynamic PET images. Second, algorithms were developed to track fiducial marker motion. Lastly, we tested the idea that principle component analysis may be able to detect heart motion in dynamic 82Rb PET based on patterns in the residue image.Overall, this thesis proposes low-cost, fast, and vendor independent post-reconstruction dynamic 82Rb PET motion detection methods which can be used to detect motion in a clinical environment as a quality assurance tool.
Degree
thesis:*- Name thesis:degree_name
- Master of Applied Science (M.App.Sc.)
- Level thesis:degree_level
- Master's
- Discipline thesis:degree_discipline
- Engineering, Biomedical
- Grantor dc:publisher
- Carleton University
- Year dc:date.issued
- 2016
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Sritharan, Anbhu
Rights
dc:rights- Statement dc:rights
-
- Copyright © 2016 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- OAI identifier oai:identifier
- oai:carleton.scholaris.ca:20.500.14718/38934