Title
Region based 4d tomographic image reconstruction : application to cardiac x-ray ct Region based 4d tomographic image reconstruction : application to cardiac x-ray ct
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
conferenceObject
Publication
New york :Ieee ,
Subject
Physics
Engineering sciences. Technology
Source (journal)
2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Source (book)
IEEE International Conference on Image Processing (ICIP), SEP 27-30, 2015, Quebec City, CANADA
Volume/pages
(2015) , p. 113-117
ISSN
1522-4880
ISBN
978-1-4799-8339-1
ISI
000371977800025
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
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.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000371977800025&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000371977800025&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
Full text (open access)
https://repository.uantwerpen.be/docman/irua/8d4588/133606.pdf
Handle