Skip to Main content Skip to Navigation
Journal articles

A generalized diffusion based inter-iteration nonlinear bilateral filtering scheme for PET image reconstruction.

Abstract : In this paper, a new inter-iteration filtering scheme based on diffusion Maximum a Posteriori (MAP) estimation for Positron emission tomography (PET) image reconstruction is proposed. This is achieved by gaining the insights into the classical MAP iteration (e.g. the 'one-step-late' algorithm, OSL) and the several well-established approximations to the diffusion process. We show that such a new technique allows additional insight and sufficient flexibility for further investigations on some nonlinear filters based reconstruction algorithms. In particular, we suggest the bilateral filter as a nice application in which image smoothing while edge preserving can be readily obtained by the combination of the range and domain filters. The feasibility and efficiency of the proposed method are verified in the substantiating experiments conducted on both the computer simulated and real clinical data.
Complete list of metadatas

https://www.hal.inserm.fr/inserm-00195427
Contributor : Lotfi Senhadji <>
Submitted on : Monday, December 17, 2007 - 8:24:11 AM
Last modification on : Friday, July 5, 2019 - 10:16:02 AM
Long-term archiving on: : Monday, April 12, 2010 - 6:49:26 AM

Identifiers

Collections

Citation

Jian Zhou, Hongqing Zhu, Huazhong Shu, Limin Luo. A generalized diffusion based inter-iteration nonlinear bilateral filtering scheme for PET image reconstruction.. Computerized Medical Imaging and Graphics, Elsevier, 2007, 31 (6), pp.447-57. ⟨10.1016/j.compmedimag.2007.04.003⟩. ⟨inserm-00195427⟩

Share

Metrics

Record views

230

Files downloads

487