DocumentCode
2804134
Title
Accurate model-based high resolution cardiac image reconstruction in dual source CT
Author
Do, Synho ; Cho, Sanghee ; Karl, W. Clem ; Kalra, Mannudeep K. ; Brady, Thomas J. ; Pien, Homer
Author_Institution
Med. Sch., Dept. of Radiol., Harvard Univ., Boston, MA, USA
fYear
2009
fDate
June 28 2009-July 1 2009
Firstpage
330
Lastpage
333
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.
Keywords
blood vessels; cardiology; computerised tomography; image reconstruction; image resolution; iterative methods; medical image processing; cardiology; dual-source CT; forward projector; heavily-calcified coronary artery; image reconstruction; model-based iterative reconstruction algorithm; simplified detector response function; spatial resolution; temporal resolution; Acceleration; Computed tomography; Detectors; Geometry; High-resolution imaging; Image reconstruction; Image resolution; Modeling; Reconstruction algorithms; Spatial resolution; cardiac; dual source CT; iterative method; model-based imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location
Boston, MA
ISSN
1945-7928
Print_ISBN
978-1-4244-3931-7
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2009.5193051
Filename
5193051
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