DocumentCode
438506
Title
Motion correction for cardiac SPECT using a RBI-ML partial-reconstruction approach
Author
Boening, Guido ; Byrne, Charles L. ; Gifford, Howard C. ; Feng, Bing ; Bruyant, Philippe P. ; Beach, Richard D. ; King, Michael A.
Author_Institution
Dept. of Radiol., Massachusetts Univ. Med. Sch., Worcester, MA
Volume
5
fYear
2004
fDate
16-22 Oct. 2004
Firstpage
2849
Lastpage
2853
Abstract
In single photon computed tomography, patient motion can significantly affect image quality. Methods to correct for patient motion rely on available information about the motion or stable algorithms have to be developed to detect and describe object motion. In this work we introduce a reconstruction method that corrects for rigid body motion and we investigate a method to exploit the motion information that might be hidden in the projection data and possibly modify motion descriptions that were retrieved by external motion tracking devices. The search method was based on reconstructing only parts of the projection angles using an RBI-ML partial-reconstruction approach (PRA). It tests a motion description with only one forward projection per detector head instead of a full reconstruction using all projections. A figure of merit based on the per angle likelihood function in projection space was introduced. With simulated MCAT data we could show that the PRA was able to identify the optimum 3D rigid body motion correction with an error of 1 pixel in each cartesian direction. Future work will address 3D translations, multiple motions, detector resolution compensation and will also concentrate on the improvement of the figure of merit.
Keywords
cardiology; image reconstruction; medical image processing; motion compensation; single photon emission computed tomography; 3D translations; MCAT data; RBI-ML partial-reconstruction approach; cardiac SPECT; detector resolution compensation; figure of merit; forward projection; image quality; multiple motions; optimum 3D rigid body motion correction; per angle likelihood function; projection angles; projection space; single photon computed tomography; Computed tomography; Detectors; Image quality; Image reconstruction; Information retrieval; Motion detection; Object detection; Reconstruction algorithms; Single photon emission computed tomography; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2004 IEEE
Conference_Location
Rome
ISSN
1082-3654
Print_ISBN
0-7803-8700-7
Electronic_ISBN
1082-3654
Type
conf
DOI
10.1109/NSSMIC.2004.1466281
Filename
1466281
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