Title :
An adaptive V-grid algorithm for diffuse optical tomography
Author :
Guven, Murat ; Yazici, Birsen ; Intes, Xavier ; Chance, Britton
Author_Institution :
Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
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.
Keywords :
adaptive signal processing; biomedical optical imaging; computational complexity; image reconstruction; inverse problems; medical image processing; optical tomography; 2-grid scheme; 2-level locally refined grid; DOT image reconstruction; ROI; adaptive V-grid algorithm; adaptive multigrid approach; computational efficiency; diffuse optical tomography; fast adaptive composite V-grid algorithm; fixed fine grid; image quality; inverse problem; least squares solution; locally refined grid structure; numerical studies; quantitative accuracy; region of interest; Absorption; Adaptive optics; Biomedical optical imaging; Equations; Image reconstruction; Inverse problems; Least squares methods; Spatial resolution; Tomography; US Department of Transportation;
Conference_Titel :
Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
Print_ISBN :
0-7803-7767-2
DOI :
10.1109/NEBC.2003.1216009
