DocumentCode :
1732726
Title :
An image reconstruction method for dynamic PET
Author :
Wernick, Miles N. ; Wang, Guanglu ; Kao, Chien-Min ; Yap, Jeffrey T. ; Mukherjee, Jogeshwar ; Cooper, Malcolm ; Chen, Chin-Tu
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Volume :
3
fYear :
1995
Firstpage :
1718
Abstract :
In PET, SPECT, and other tomographic imaging modalities, dynamic image sequences are typically obtained by reconstructing the individual time frames independently. This frame-by-frame reconstruction approach can be highly suboptimal because it fails to take into account the temporal correlations in the signal. The authors propose an alternative approach, based on a Karhunen-Loeve transformation of the dynamic-image reconstruction problem, that can offer both significant improvement of the reconstructed images and a substantial reduction in the computation required to reconstruct an image sequence
Keywords :
image reconstruction; image sequences; medical image processing; positron emission tomography; transforms; Karhunen-Loeve transformation; computation reduction; dynamic PET; dynamic image sequences; frame-by-frame reconstruction approach; image reconstruction method; individual time frames; medical diagnostic imaging; nuclear medicine; signal temporal correlations; Decorrelation; Geoscience and remote sensing; Image reconstruction; Image resolution; Image restoration; Image sequences; Noise reduction; Positron emission tomography; Radiology; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-3180-X
Type :
conf
DOI :
10.1109/NSSMIC.1995.501917
Filename :
501917
Link To Document :
بازگشت