The use of the least-square minimal residual algorithm for fast and regularized attenuation compensation in SPECT

Conference · Mon Dec 30 23:00:00 EST 1996

OSTI ID:513271

La, V; Grangeat, P; Iovleff, S; Sire, P ^[1]

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1. 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

Related Subjects

44 INSTRUMENTATION
INCLUDING NUCLEAR AND PARTICLE DETECTORS
55 BIOLOGY AND MEDICINE
BASIC STUDIES
ALGORITHMS
ATTENUATION
IMAGE PROCESSING
ITERATIVE METHODS
LEAST SQUARE FIT
SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY