Regional sub-block matrices based multiple regularization and biomedical image reconstruction

Author

Biswas, Samir Kumar ; Rajan, K. ; Vasu, R.M.

Author_Institution

Dept. of Phys., Indian Inst. of Sci., Bangalore, India

fYear

2010

fDate

16-18 Dec. 2010

Firstpage

61

Lastpage

66

Abstract

A regional information based multiple regularization is studied for solving biological inverse problem. Inverse problems are usually optimized and solved by Newtons method and its variants. Optimization based on calculus is extremely localized. The regional gradient in calculus is more important for local physiological changes. A sub-block based multiple regularization is proposed in Gauss-Newtons method for biological diffuse optical tomograph (DOT). A study of single step regularization (STR) method and proposed subblock based multiple regularization method has been carried out. The reconstructed image analysis shows a significant improvement in the proposed method.

Keywords

Newton method; biomedical optical imaging; image reconstruction; inverse problems; matrix algebra; medical image processing; optical tomography; Gauss-Newtons method; biological diffuse optical tomograph; biological inverse problem; biomedical image reconstruction; local physiological changes; optimization; regional sub-block matrices; single step regularization method; subblock based multiple regularization method; Biomedical optical imaging; Image reconstruction; Nonhomogeneous media; Optical imaging; Optical scattering; DOT; Regularization; block matrix; multiple regularization;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems in Medicine and Biology (ICSMB), 2010 International Conference on

Conference_Location

Kharagpur

Print_ISBN

978-1-61284-039-0

Type

conf

DOI

10.1109/ICSMB.2010.5735346

Filename

5735346