DocumentCode :
1455073
Title :
A method of attenuation map and emission activity reconstruction from emission data
Author :
Panin, V.Y. ; Zeng, G.L. ; Gullberg, G.T.
Author_Institution :
Dept. of Radiol., Utah Univ., Salt Lake City, UT, USA
Volume :
48
Issue :
1
fYear :
2001
fDate :
2/1/2001 12:00:00 AM
Firstpage :
131
Lastpage :
138
Abstract :
An iterative algorithm that reconstructs the attenuation map and emission activity distribution from SPECT emission data is proposed. The algorithm is based on the quasilinearized attenuated Radon transform. At each iteration of the algorithm, emission activity distribution is reconstructed using the attenuation map from the previous iteration. Then, the attenuation map is estimated by using the current emission image. To effectively locate the attenuation map within a possible class of solutions the attenuation map is constrained by an optimal basis set, which is derived from a cross-correlation of a priori images known as a “knowledge set.” Computer simulations show that the proposed algorithm has the capability to reconstruct the emission activity distribution and the transmission map without the use of transmission measurements. The proposed method has been tested using clinically acquired data
Keywords :
Radon transforms; image reconstruction; iterative methods; medical image processing; single photon emission computed tomography; SPECT emission data; a priori images known cross-correlation; algorithm iteration; attenuation map estimation; clinically acquired data; emission activity reconstruction; medical diagnostic imaging; nuclear medicine; optimal basis set; quasilinearized attenuated Radon transform; transmission map; Attenuation; Detectors; Eigenvalues and eigenfunctions; Image reconstruction; Inverse problems; Iterative algorithms; Principal component analysis; Radiology; Testing; Vectors;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/23.910843
Filename :
910843
Link To Document :
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