Presentation
5 March 2021 Non-invasive virtual biopsy using optical coherence tomography
Yonatan Winetraub, Edwin Yuan, Itamar Terem, Caroline Yu, Maiya Mao, Megan Megan, Jacqueline Yu, Kavita Sarin, Sumaira Aasi, Warren Chan, Vivian Hua, Ziv Lautman, Saba Shevidi, Erick Blankenberg, Anh Diep, Hanh Do, Steven Chu, Adam de la Zerda, Kerri Rieger
Author Affiliations +
Abstract
We introduce the concept of a virtual biopsy, by using generative neural networks to synthesize virtual H&E sections from OCT images. To do this, we have developed a novel technique, “optical barcoding”, which has allowed us to construct a large dataset of OCT-H&E image pairs of human skin collected during Mohs surgery. Our results demonstrate the ability to use OCT images to generate high-fidelity virtual H&E sections and entire 3D H&E volumes. We hope that our novel method will allow clinicians to circumvent the time- and resource-consuming step of an invasive biopsy procedure.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yonatan Winetraub, Edwin Yuan, Itamar Terem, Caroline Yu, Maiya Mao, Megan Megan, Jacqueline Yu, Kavita Sarin, Sumaira Aasi, Warren Chan, Vivian Hua, Ziv Lautman, Saba Shevidi, Erick Blankenberg, Anh Diep, Hanh Do, Steven Chu, Adam de la Zerda, and Kerri Rieger "Non-invasive virtual biopsy using optical coherence tomography", Proc. SPIE 11630, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV, 116300X (5 March 2021); https://doi.org/10.1117/12.2583272
Advertisement
Advertisement
KEYWORDS
Optical coherence tomography

Biopsy

Tissue optics

Neural networks

In vivo imaging

Mohs surgery

Optical alignment

Back to Top