Tissue spatial correlation as cancer marker

Masanori Takabayashi; Hassaan Majeed; Andre Kajdacsy-Balla; Gabriel Popescu

doi:10.1117/1.JBO.24.1.016502

21 January 2019 Tissue spatial correlation as cancer marker

Masanori Takabayashi, Hassaan Majeed, Andre Kajdacsy-Balla, Gabriel Popescu

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Journal of Biomedical Optics, Vol. 24, Issue 1, 016502 (January 2019). https://doi.org/10.1117/1.JBO.24.1.016502

Abstract

We propose an intrinsic cancer marker in fixed tissue biopsy slides, which is based on the local spatial autocorrelation length obtained from quantitative phase images. The spatial autocorrelation length in a small region of the tissue phase image is sensitive to the nanoscale cellular morphological alterations and can hence inform on carcinogenesis. Therefore, this metric can potentially be used as an intrinsic cancer marker in histopathology. Typically, these correlation length maps are calculated by computing two-dimensional Fourier transforms over image subregions—requiring long computational times. We propose a more time-efficient method of computing the correlation map and demonstrate its value for diagnosis of benign and malignant breast tissues. Our methodology is based on highly sensitive quantitative phase imaging data obtained by spatial light interference microscopy.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Masanori Takabayashi, Hassaan Majeed, Andre Kajdacsy-Balla, and Gabriel Popescu "Tissue spatial correlation as cancer marker," Journal of Biomedical Optics 24(1), 016502 (21 January 2019). https://doi.org/10.1117/1.JBO.24.1.016502

Received: 5 June 2018; Accepted: 28 December 2018; Published: 21 January 2019

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