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)
|
|
|
|
|
|