DocumentCode
2039029
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
fYear
2011
fDate
13-18 Sept. 2011
Firstpage
2730
Lastpage
2731
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;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location
Tokyo
ISSN
pending
Print_ISBN
978-1-4577-0714-8
Type
conf
Filename
6060443
Link To Document