@conference{10902/2576,
year = {2012},
month = {2},
url = {http://hdl.handle.net/10902/2576},
abstract = {A spectral analysis technique to enhance tumor contrast during breast conserving surgery is proposed. A set of 29 surgically-excised breast tissues have been imaged in local reflectance geometry. Measures of broadband reflectance are directly analyzed using Principle Component Analysis (PCA), on a per sample basis, to extract areas of maximal spectral variation. A dynamic selection threshold has been applied to obtain the final number of principal components, accounting for inter-patient variability. A blind separation technique based on Independent Component Analysis (ICA) is then applied to extract diagnostically powerful results. ICA application reveals that the behavior of one independent component highly correlates with the pathologic diagnosis and it surpasses the contrast obtained using empirical models. Moreover, blind detection characteristics (no training, no comparisons with training reference data) and no need for parameterization makes the automated diagnosis simple and time efficient, favoring its translation to the clinical practice. Correlation coefficient with model-based results up to 0.91 has been achieved.},
organization = {This work has been supported by CYCIT projects DA2TOI (FIS2010-19860) and TFS (TEC2010-20224-C02-02), funded by the Spanish Government},
publisher = {SPIE Society of Photo-Optical Instrumentation Engineers},
publisher = {Proceedings of SPIE, 2012, vol. 8230, 823010},
publisher = {Biomedical Applications of Light Scattering VI, San Francisco (CA), 2012},
title = {Enhanced tumor contrast during breast lumpectomy provided by independent component analysis of localized reflectance measures},
author = {Eguizabal Aguado, Alma and Laughney, Ashley M. and García Allende, Pilar Beatriz and Krishnaswamy, Venkataramanan and Wells, Wendy A. and Paulsen, Keith D. and Pogue, Brian William and López Higuera, José Miguel and Conde Portilla, Olga María},
}