Publication
Title
Region based 4d tomographic image reconstruction : application to cardiac x-ray ct
Author
Abstract
X-ray computed tomography (CT) is a powerful tool for non-invasive cardiac imaging. However, radiation dose is a major issue. In this paper, we propose an iterative reconstruction method that reduces the radiation dose without compromising image quality. This is achieved by exploiting prior knowledge in two ways: the reconstructed object is assumed to consist of both stationary and dynamic regions over time and the dynamic region is assumed to have sparse structures after a proper sparsifying space-time transform. Experiments on simulation data and a real mu CT cardiac mouse dataset show that, with comparable image quality, the radiation dose can be substantially reduced compared to conventional acquisition/reconstruction protocols.
Language
English
Source (journal)
Proceedings. - Los Alamitos, Calif, 1994, currens
Source (book)
IEEE International Conference on Image Processing (ICIP), SEP 27-30, 2015, Quebec City, CANADA
Publication
New york : Ieee , 2015
ISBN
978-1-4799-8339-1
978-1-4799-8339-1
DOI
10.1109/ICIP.2015.7350770
Volume/pages
(2015) , p. 113-117
ISI
000371977800025
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 06.06.2016
Last edited 09.10.2023
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