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