Skip to Main content Skip to Navigation
Journal articles

Noniterative sequential weighted least squares algorithm for positron emission tomography reconstruction.

Abstract : 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.
Complete list of metadatas

Cited literature [20 references]  Display  Hide  Download

https://www.hal.inserm.fr/inserm-00337826
Contributor : Lotfi Senhadji <>
Submitted on : Wednesday, November 12, 2008 - 6:29:08 PM
Last modification on : Friday, July 5, 2019 - 10:16:02 AM
Long-term archiving on: : Tuesday, October 9, 2012 - 3:10:57 PM

File

manuscript_cmig_08_05-08_final...
Files produced by the author(s)

Identifiers

Collections

Citation

Jian Zhou, Jean-Louis Coatrieux, Limin Luo. Noniterative sequential weighted least squares algorithm for positron emission tomography reconstruction.. Computerized Medical Imaging and Graphics, Elsevier, 2008, 32 (8), pp.710-9. ⟨10.1016/j.compmedimag.2008.08.008⟩. ⟨inserm-00337826⟩

Share

Metrics

Record views

319

Files downloads

456