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Enhanced tumor contrast during breast lumpectomy provided by independent component analysis of localized reflectance measures.
Proc. SPIE 8230:823010 (2012)
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.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Breast tumor; Independent component analysis (ICA); Optical reflectance; Optical scattering parameters; Principal component analysis (PCA)
ISSN (print) / ISBN 0277-786X
Journal Proceedings of SPIE
Quellenangaben Volume: 8230, Article Number: 823010
Reviewing status Peer reviewed
Institute(s) Institute of Biological and Medical Imaging (IBMI)