Fractal analysis of scatter imaging signatures to distinguish breast pathologies
A. Eguizabal, A.M. Laughney, V. Krishnaswamy, W.A. Wells, K.D. Paulsen, B.W. Pogue, J. Lopez-Higuera, O.M. Conde, in: SPIE Photonics West BIOS, VIII Biomedical Applications of Light Scattering, San Francisco, USA, 2013.
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Conference Paper
Author
Eguizabal, Alma;
Laughney, Ashley M.;
Krishnaswamy, Venkataramanan;
Wells, Wendy A.;
Paulsen, Keith D.;
Pogue, Brian W.;
Lopez-Higuera, Jose;
Conde, Olga M.
Department
Abstract
Fractal analysis combined with a label-free scattering technique is proposed for describing the pathological architecture of tumors. Clinicians and pathologists are conventionally trained to classify abnormal features such as structural irregularities or high indices of mitosis. The potential of fractal analysis lies in the fact of being a morphometric measure of the irregular structures providing a measure of the object’s complexity and self-similarity. As cancer is characterized by disorder and irregularity in tissues, this measure could be related to tumor growth. Fractal analysis has been probed in the understanding of the tumor vasculature network. This work addresses the feasibility of applying fractal analysis to the scattering power map (as a physical modeling) and principal components (as a statistical modeling) provided by a localized reflectance spectroscopic system. Disorder, irregularity and cell size variation in tissue samples is translated into the scattering power and principal components magnitude and its fractal dimension is correlated with the pathologist assessment of the samples. The fractal dimension is computed applying the box-counting technique. Results show that fractal analysis of ex-vivo fresh tissue samples exhibits separated ranges of fractal dimension that could help classifier combining the fractal results with other morphological features. This contrast trend would help in the discrimination of tissues in the intraoperative context and may serve as a useful adjunct to surgeons.
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SPIE Photonics West BIOS, VIII Biomedical Applications of Light Scattering
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Eguizabal A, Laughney AM, Krishnaswamy V, et al. Fractal analysis of scatter imaging signatures to distinguish breast pathologies. In: SPIE Photonics West BIOS, VIII Biomedical Applications of Light Scattering. ; 2013.
Eguizabal, A., Laughney, A. M., Krishnaswamy, V., Wells, W. A., Paulsen, K. D., Pogue, B. W., Lopez-Higuera, J., & Conde, O. M. (2013). Fractal analysis of scatter imaging signatures to distinguish breast pathologies. SPIE Photonics West BIOS, VIII Biomedical Applications of Light Scattering.
@inproceedings{Eguizabal_Laughney_Krishnaswamy_Wells_Paulsen_Pogue_Lopez-Higuera_Conde_2013, place={San Francisco, USA}, title={Fractal analysis of scatter imaging signatures to distinguish breast pathologies}, booktitle={SPIE Photonics West BIOS, VIII Biomedical Applications of Light Scattering}, author={Eguizabal, Alma and Laughney, Ashley M. and Krishnaswamy, Venkataramanan and Wells, Wendy A. and Paulsen, Keith D. and Pogue, Brian W. and Lopez-Higuera, Jose and Conde, Olga M.}, year={2013} }
Eguizabal, Alma, Ashley M. Laughney, Venkataramanan Krishnaswamy, Wendy A. Wells, Keith D. Paulsen, Brian W. Pogue, Jose Lopez-Higuera, and Olga M. Conde. “Fractal Analysis of Scatter Imaging Signatures to Distinguish Breast Pathologies.” In SPIE Photonics West BIOS, VIII Biomedical Applications of Light Scattering. San Francisco, USA, 2013.
A. Eguizabal et al., “Fractal analysis of scatter imaging signatures to distinguish breast pathologies,” 2013.
Eguizabal, Alma, et al. “Fractal Analysis of Scatter Imaging Signatures to Distinguish Breast Pathologies.” SPIE Photonics West BIOS, VIII Biomedical Applications of Light Scattering, 2013.