Lesion Synthesis Toolbox: Development and Validation of Dedicated Software for Synthesis of Lesions in Raw PET and CT Patient Images
Public Deposited- Resource Type
- Creator
- Abstract
PET is one of the most sensitive clinical tools for early detections of small tumours, but its performance is dependent on multiple factors including image quality and human perception. Current methods relying on physical and numerical image quality phantoms are inadequate for evaluating clinical task-based performance, such as limits of lesion detection, due to lack of physiologic realism of the images.In this work, we describe development and validation of the Lesion Synthesis Toolbox, an easy-to-use software to synthetize well-characterized, user-defined lesions in real patient PET data prior to image reconstruction and in corresponding CT images on GE Discovery line of PET/CT scanners.
- Subject
- Language
- Publisher
- Thesis Degree Level
- Thesis Degree Name
- Thesis Degree Discipline
- Identifier
- Rights Notes
Copyright © 2019 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.
- Date Created
- 2019
Relations
- In Collection:
Items
Thumbnail | Title | Date Uploaded | Visibility | Actions |
---|---|---|---|---|
juma-lesionsynthesistoolboxdevelopmentandvalidation.pdf | 2023-05-05 | Public | Download |