DocumentCode
781484
Title
Dynamic X-ray computed tomography
Author
Bonnet, Stéphane ; Koenig, Anne ; Roux, Sébastien ; Hugonnard, Patrick ; Guillemaud, Régis ; Grangeat, Pierre
Author_Institution
Dept. Syst.s pour l´´Inf. et la Sante, Lab. d´´Electronique et de Technol. de l´´Inf., Grenoble, France
Volume
91
Issue
10
fYear
2003
Firstpage
1574
Lastpage
1587
Abstract
Dynamic computed tomography (CT) imaging aims at reconstructing image sequences where the dynamic nature of the living human body is of primary interest. The main applications concerned are image-guided interventional procedures, functional studies and cardiac imaging. The introduction of ultra-fast rotating gantries along with multi-row detectors and in near future area detectors allows huge progress toward the imaging of moving organs with low-contrast resolution. This paper gives an overview of the different concepts used in dynamic CT. A new reconstruction algorithm based on a voxel-specific dynamic evolution compensation is also presented. It provides four-dimensional image sequences with accurate spatio-temporal information, where each frame is reconstructed using a long-scan acquisition mode on several half-turns. In the same time, this technique permits to reduce the dose delivered per rotation while keeping the same signal to noise ratio for every frame using an adaptive motion-compensated temporal averaging. Results are illustrated on simulated data.
Keywords
X-ray detection; adaptive signal processing; biological organs; cardiology; computerised tomography; dosimetry; image reconstruction; image resolution; image sequences; medical image processing; motion compensation; reviews; spatiotemporal phenomena; accurate spatio-temporal information; adaptive motion-compensated temporal averaging; area detectors; cardiac imaging; dynamic CT; dynamic X-ray computed tomography; four-dimensional image sequences; functional studies; half-turns; image sequence reconstruction; image-guided interventional procedures; living human body; long-scan acquisition mode; low-contrast resolution; moving organ imaging; multi-row detectors; overview; reconstruction algorithm; signal to noise ratio; simulated data; ultra-fast rotating gantries; voxel-specific dynamic evolution compensation; Computed tomography; Detectors; Humans; Image reconstruction; Image resolution; Image sequences; Optical imaging; Reconstruction algorithms; Signal to noise ratio; X-ray imaging;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/JPROC.2003.817868
Filename
1232194
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