The use of the least-square minimal residual algorithm for fast and regularized attenuation compensation in SPECT
- LETI CEA - Technologies Avancees, Grenoble (France); and others
This paper addresses the problem of attenuation compensation in SPECT imaging. It describes a fast and regularized iterative algorithm for reconstructing cardiac SPECT images acquired with a 180{degrees} protocol and in the presence of nonuniform attenuation. The proposed reconstruction method is based on the use of the least-squares minimal residual minimization algorithm. Since the inverse problem is ill-posed, regularization must be applied in order to get a stable reconstruction. We present a spatially adaptive regularization technique. Results obtained with numerical simulations, anatomic phantoms and clinical data show that the proposed reconstruction method is two to four times faster than methods based on preconditioned conjugate gradient. They also demonstrate the effectiveness of the spatially adaptive regularization technique.
- OSTI ID:
- 513271
- Report Number(s):
- CONF-961123-; TRN: 97:014324
- Resource Relation:
- Conference: Institute of Electrical and Electronic Engineers (IEEE) nuclear science symposium and medical imaging conference, Anaheim, CA (United States), 2-9 Nov 1996; Other Information: PBD: 1996; Related Information: Is Part Of 1996 IEEE nuclear science symposium - conference record. Volumes 1, 2 and 3; Del Guerra, A. [ed.]; PB: 2138 p.
- Country of Publication:
- United States
- Language:
- English
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