Noniterative sequential weighted least squares algorithm for positron emission tomography reconstruction.
This paper proposes a new sequential weighted least squares (SWLS) method for positron emission tomography (PET) reconstruction. The SWLS algorithm is noniterative and can be considered as equivalent to the penalized WLS (PWLS) method under certain initial conditions. However, a full implementation of SWLS is computationally intensive. To overcome this problem, we propose a simplified SWLS as a reasonable alternative to the SWLS. The performance of this SWLS method is evaluated in experiments using both simulated and clinical data. The results show that the method can be advantageously compared with the original SWLS both in computation time and reconstruction quality.
Laboratory of Image Science and Technology, Southeast University, 210096 China. jian.zhou@univ-rennes1.fr
Jian
J
Zhou
Jean-Louis
JL
Coatrieux
Limin
L
Luo
D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging; D016000:Cluster Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016018:Least-Squares Analysis; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods; D049268:Positron-Emission Tomography / Q000379:methods*; D018511:Systems Integration; D014894:Weights and Measures; D014941:Work Simplification