文献类型：期刊文献

英文题名：A generalized diffusion based inter-iteration nonlinear bilateral filtering scheme for PET image reconstruction

作者：Zhou, Jian[1,2,3,4]; Zhu, Hongqing[5]; Shu, Huazhong[1,4]; Luo, Limin[1,4]

机构：[1]Southeast Univ, Lab Image Sci & Technol, Nanjing, Peoples R China;[2]INSERM, U642, Rennes, France;[3]Univ Rennes 1, LTSI, Rennes, France;[4]E China Univ Sci & Technol, Shanghai 200237, Peoples R China

年份：2007

卷号：31

期号：6

起止页码：447

外文期刊名：COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

收录：;EI(收录号：20072810699965);WOS:【SCI-EXPANDED(收录号:WOS:000248778500010)】；

语种：英文

外文关键词：image reconstruction; inter-iteration; filtering; MAP; OSL; diffusion; bilateral; range filter; domain filter

摘要：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. (c) 2007 Elsevier Ltd. All rights reserved.