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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 a locally refined grid structure for region of interest (ROI). A least squares (LS) solution is formulated for the inverse problem. A fast adaptive composite (FAC) V-grid algorithm is employed to solve the inverse problem. The same problem is also solved using a fixed fine grid and FAC 2-grid scheme for a 2-level locally refined grid. Our numerical studies demonstrate that the proposed FAC based adaptive V-grid approach provides better image quality and up to 90% reduction in computational requirements as compared to the fixed grid and at least 10% reduction as compared to FAC 2-grid algorithms.
Date of Conference: 22-23 March 2003