Title
Accurate model-based high resolution cardiac image reconstruction in dual source CT
Abstract
Cardiac imaging represents one of the most challenging imaging problems, requiring high spatial and temporal resolutions along with good tissue contrast. One of the newest clinical cardiac CT scanners incorporates two source-detector pairs in order to improve the temporal resolution by two-fold. To achieve the highest spatial resolution, reconstructions using iterative techniques may be desired. Yet the complexity of the dual-source geometry makes accurate system modeling a challenge. In this paper, we present a model-based iterative reconstruction algorithm for the dual-source CT. We demonstrate, using a total variation formulation, the results of our reconstructions. To accelerate the processing and enhance the quality of the result, we also incorporate a simplified detector response function in the forward projector. A segment of heavily-calcified coronary artery is used to demonstrate the spatial and temporal resolution of this approach with the dual-source system.
Year
DOI
Venue
2009
10.1109/ISBI.2009.5193051
ISBI
Keywords
Field
DocType
dual-source ct,dual source,accurate model-based high resolution,cardiology,computerised tomography,iterative technique,image resolution,temporal resolution,blood vessels,dual-source geometry,spatial resolution,model-based iterative reconstruction algorithm,simplified detector response function,high spatial,heavily-calcified coronary artery,image reconstruction,iterative method,dual-source system,cardiac imaging,challenging imaging problem,cardiac image reconstruction,cardiac,model-based imaging,highest spatial resolution,dual source ct,accurate system,iterative methods,medical image processing,forward projector,computed tomography,geometry,high resolution,biomedical imaging,iteration method,detectors,iterative reconstruction,system modeling,total variation
Iterative reconstruction,Computer vision,Pattern recognition,Iterative method,Computer science,Medical imaging,Projector,Cardiac imaging,Artificial intelligence,Temporal resolution,Detector,Image resolution
Conference
ISSN
ISBN
Citations 
1945-7928 E-ISBN : 978-1-4244-3932-4
978-1-4244-3932-4
2
PageRank 
References 
Authors
0.72
0
6
Name
Order
Citations
PageRank
Synho Do19412.86
Sanghee Cho2213.04
W. Clem Karl321.74
Mannudeep Kalra414414.28
Thomas J. Brady532.44
Homer Pien611310.40