Source reconstruction for bioluminescence tomography via L1∕2 regularization
作者: Jingjing YuQiyue LiHaiyu Wang
作者单位: 1School of Physics and Information Technology, Shaanxi Normal University, Xi’an 710119, P. R. China
刊名: Journal of Innovative Optical Health Sciences, 2018, Vol.11 (2), pp.1750014-1-1750014-9
来源数据库: Directory of Open Access Journals
DOI: 10.1142/S1793545817500146
关键词: Bioluminescence tomographyL1∕2 regularizationInverse problemReconstruction algorithm
原始语种摘要: Bioluminescence tomography (BLT) is an important noninvasive optical molecular imaging modality in preclinical research. To improve the image quality, reconstruction algorithms have to deal with the inherent ill-posedness of BLT inverse problem. The sparse characteristic of bioluminescent sources in spatial distribution has been widely explored in BLT and many L1-regularized methods have been investigated due to the sparsity-inducing properties of L1 norm. In this paper, we present a reconstruction method based on L1∕2 regularization to enhance sparsity of BLT solution and solve the nonconvex L1∕2 norm problem by converting it to a series of weighted L1 homotopy minimization problems with iteratively updated weights. To assess the performance of the proposed reconstruction algorithm,...
全文获取路径: DOAJ  (合作)
影响因子:0.632 (2012)

  • regularization 正则化
  • reconstruction 复原
  • tomography 断层x 线摄影
  • minimization 最小化
  • algorithm 算法
  • weighted 加权
  • demonstrate 说明
  • image 
  • modality 模态
  • imaging 图像形成