An adaptive multigrid algorithm for region of interest diffuse optical tomography

Dueto diffuse nature of lightphotons, Diffuse Optical Tomography (DOT) image reconstruction is a challenging 3D problem with a relatively large number of unknowns and limited measurements. AS a result, the computational complexity of the existing DOT image reconstruction algorithms remains prohibitive. In this work, we investigate an adaptive multigrid approach to improve the computational efficiency and the quantitative accuracy of DOT image reconstruction. The key idea is based on locally refined grid structure for region of interest (ROW The ROI may be defined as diagnostically significant regions, strong background heterogeneities andlor deep optical edges. A 2-level mesh is generated to provide high resolution for RO1 and sufficiently high resolution for the rest of the image. A Least Squares (LS) solution is formulated for the inverse problem. Fast Adaptive Composite (FAC) 2-Grid algorithm is employed to solve the inverse problem. Conjugate Gradient (CG)is used at the relaxation...

• Type: Conference
• Year: 2003
• Where: ICIP
• Authors: Murat Guven, Birsen Yazici, Xavier Intes, Britton Chance
• Keywords: Adaptive Multigrid Approach, DOT Image Reconstruction, ICIP 2003, Image Processing, Image Reconstruction Algorithms, Inverse Problem, Nonlinear Inverse Problems