High resolution slice to volume alignment of 2D histopathology to 3D optical coherence tomography (OCT) images

Itamar Terem; Yonatan Winetraub; Edwin Yuan; Caroline Yu; Maiya Mao; Megan Hong; Jacqueline Yu; Kavita Sarin; Sumaira Aasi; Kerri Rieger; Warren Chan; Vivian Hua; Ziv Lautman; Saba Shevidi; Erick Blankenberg; Anh Diep; Hanh Do; Steven Chu; Adam de la Zerda

doi:10.1117/12.2582907

5 March 2021 High resolution slice to volume alignment of 2D histopathology to 3D optical coherence tomography (OCT) images

Itamar Terem, Yonatan Winetraub, Edwin Yuan, Caroline Yu, Maiya Mao, Megan Hong, Jacqueline Yu, Kavita Sarin, Sumaira Aasi, Kerri Rieger, Warren Chan, Vivian Hua, Ziv Lautman, Saba Shevidi, Erick Blankenberg, Anh Diep, Hanh Do, Steven Chu, Adam de la Zerda

Author Affiliations +

Proceedings Volume 11636, Optical Biopsy XIX: Toward Real-Time Spectroscopic Imaging and Diagnosis; 1163609 (2021) https://doi.org/10.1117/12.2582907
Event: SPIE BiOS, 2021, Online Only

Abstract

We introduce a novel technique, “optical barcoding”, which enables us to repeatedly extract the 2D OCT slice from a 3D OCT volume that corresponds to a given H and E tissue section, with high alignment precision of 25 microns. Our method is based on marking a specific geometric pattern that is preserved through the standard histological process and encodes all orientation, position and scaling information about how the section was cut. We demonstrate the robustness of our novel technique by collecting hundreds of high-quality OCT-H and E image pairs from more than 30 different human skin samples that were collected during Mohs surgery.

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Itamar Terem, Yonatan Winetraub, Edwin Yuan, Caroline Yu, Maiya Mao, Megan Hong, Jacqueline Yu, Kavita Sarin, Sumaira Aasi, Kerri Rieger, Warren Chan, Vivian Hua, Ziv Lautman, Saba Shevidi, Erick Blankenberg, Anh Diep, Hanh Do, Steven Chu, and Adam de la Zerda "High resolution slice to volume alignment of 2D histopathology to 3D optical coherence tomography (OCT) images", Proc. SPIE 11636, Optical Biopsy XIX: Toward Real-Time Spectroscopic Imaging and Diagnosis, 1163609 (5 March 2021); https://doi.org/10.1117/12.2582907

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