DocumentCode :
2780635
Title :
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
Link To Document :
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