Paper Info
Title
Analytical Considerations of Photon Attenuation and System Response Function in SPECT Reconstruction
Abstract
A unified framework for image reconstruction in single-photon emission computed tomography (SPECT) is proposed for modeling of the effects of photon attenuation and of the imaging-system point-spread function (PSF). This framework provides a basis for analysis of the mathematical properties of the SPECT reconstruction problem. We introduce an average-attenuation factor that is calculated along each projection line. Under certain conditions, a one-step correction method employing this average-attenuation factor compensates completely for the effects of both photon attenuation and PSF. In addition, a new hybrid approach is proposed that uses the one-step correction method at the initial step and shifts to a modified iterative Chang's method in the subsequent iterations. We implemented both the iterative Chang's method and our hybrid method in computer simulation studies. The results demonstrate that (a) our one-step correction method significantly improves the quality of reconstructed images over those with Chang's one-step method; (b) our hybrid approach converges faster than does the iterative Chang's method and produces reconstructed images of high quality.
Year
DOI
Venue
1993
10.1007/BFb0013798
IPMI
Keywords
Field
DocType
analytical considerations,photon at- tenuation,unified frame- work,system response function,point-spread function,average-attenuation factor,photon attenuation,single-photon emission computed tomography,spect reconstruction,hybrid approach.,point spread function,image reconstruction,computer simulation
Single-photon emission computed tomography,Iterative reconstruction,Computer vision,Emission computed tomography,Reconstruction problem,Computer science,Photon attenuation,Artificial intelligence,Point spread function,Mathematical properties
Conference
ISBN
Citations 
PageRank 
3-540-56800-X
0
0.34
References 
Authors
1
4
Name
Order
Citations
PageRank
Xiaochuan Pan121579.94
T Chen219746.22
John N. Aarsvold300.34
Wing Hung Wong460796.45