ICA-guided delineation of breast cancer pathology

Author

Eguizabal, Alma ; Laughney, Ashley M. ; García-Allende, Pilar Beatriz ; Krishnaswamy, Venkataramanan ; Wells, Wendy A. ; Paulsen, Keith D. ; Pogue, Brian W. ; Lopez-Higuera, Jose M. ; Conde, Olga M.

Author_Institution

Grupo Ing. Fotonica, Univ. de Cantabria, Santander, Spain

fYear

2012

fDate

2-5 May 2012

Firstpage

1611

Lastpage

1614

Abstract

A surgeon-guided independent component analysis from optical reflectance measurements is proposed for breast tumor delineation. Independent Component Analysis is first applied to extract the most relevant features from local measures of broadband reflectance and then a tumor probability indicator is obtained and provided utilizing surgeon assistance to resolve the inherent ambiguities in the independent component calculation. A set of 29 breast tissue samples have been diagnosed achieving a sensitivity of 90.57%, and specificity of 93.98%.

Keywords

biomedical optical imaging; cancer; feature extraction; independent component analysis; mammography; medical image processing; tumours; ICA-guided delineation; breast cancer pathology; breast tumor delineation; broadband reflectance; feature extraction; independent component analysis; optical reflectance measurement; surgeon assistance; tumor probability indicator; Breast cancer; Integrated optics; Optical scattering; Pathology; Principal component analysis; Surgery; Tumors; Independent Component Analysis (ICA); Principal Component Analysis (PCA); breast tumor delineation; optical scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on

Conference_Location

Barcelona

ISSN

1945-7928

Print_ISBN

978-1-4577-1857-1

Type

conf

DOI

10.1109/ISBI.2012.6235884

Filename

6235884