Title :
A regularization technique minimizing entropy for sparse reconstruction in diffuse optical tomography
Author :
Okawa, Shinpei ; Yamada, Yukio
Author_Institution :
Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Chofu, Japan
Abstract :
A regularization technique by minimizing the entropy to localize the changes in the optical properties is introduced for diffuse optical tomography reconstruction. Numerical simulations are conducted and show that the regularization technique successfully localizes the changes in the absorption coefficient in the biological medium with the regularization parameter selected by the L-curve method.
Keywords :
absorption coefficients; biomedical optical imaging; entropy; image reconstruction; medical image processing; numerical analysis; optical tomography; sparse matrices; L-curve method; absorption coefficient; biological medium; diffuse optical tomography reconstruction; entropy minimization; optical property; regularization technique; sparse reconstruction; Adaptive optics; Biomedical optical imaging; Entropy; Image reconstruction; Optical imaging; Optical scattering; Tomography; diffuse optical tomography; entropy; inverse problem; near-infrared light; regularization;
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8
