Independent component imaging of disease signatures

Author

Wang, Yue ; Zhang, Junying ; Huang, Kun ; Khan, Javed ; Szabo, Zsolt

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Catholic Univ. of America, Washington, DC, USA

fYear

2002

fDate

2002

Firstpage

457

Lastpage

460

Abstract

This paper describes a neural computation approach to independent component imaging of disease signatures. The novel feature is to separate mixed imagery sources blindly over an informative index subspace. The recovery of patterns is achieved by independent component analysis, whose parameters are estimated using the infomax principle. We discuss the theoretic roadmap of the approach, and its applications to the partial volume correction in cDNA microarray expression and the neuro-transporter binding separation in positron emission tomography.

Keywords

DNA; diseases; independent component analysis; medical image processing; neural nets; neurophysiology; positron emission tomography; PET; cDNA microarray expression; disease signatures; independent component imaging; large scale gene expression analysis; microarrays; neural computation approach; neurotransporter binding separation; partial volume correction; patterns recovery; theoretic roadmap; Computer science; Contamination; Diseases; Gene expression; Independent component analysis; Neoplasms; Paper technology; Parameter estimation; Positron emission tomography; Radiology;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on

Print_ISBN

0-7803-7584-X

Type

conf

DOI

10.1109/ISBI.2002.1029293

Filename

1029293