The use of the least-square minimal residual algorithm for fast and regularized attenuation compensation in SPECT
Conference
·
OSTI ID:513271
- 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--
- Country of Publication:
- United States
- Language:
- English
Similar Records
Evaluation of two conjugate gradient based algorithms for quantitation in cardiac SPECT imaging
Compensation for nonuniform attenuation in SPECT brain imaging
Practical iterative reconstruction methods for quantitative cardiac SPECT image reconstruction
Conference
·
Mon Dec 30 23:00:00 EST 1996
·
OSTI ID:513266
Compensation for nonuniform attenuation in SPECT brain imaging
Journal Article
·
Sun Mar 31 23:00:00 EST 1996
· IEEE Transactions on Nuclear Science
·
OSTI ID:248095
Practical iterative reconstruction methods for quantitative cardiac SPECT image reconstruction
Journal Article
·
Mon Jan 31 23:00:00 EST 1994
· IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States)
·
OSTI ID:7233829