An automated clinical study pipeline for diffuse optical tomography of breast cancer

Minghao Xue; Menghao Zhang; Shuying Li; Yun Zou; Quing Zhu

doi:10.1117/12.2651358

7 March 2023 An automated clinical study pipeline for diffuse optical tomography of breast cancer

Minghao Xue, Menghao Zhang, Shuying Li, Yun Zou, Quing Zhu

Proceedings Volume PC12376, Optical Tomography and Spectroscopy of Tissue XV; PC123760I (2023) https://doi.org/10.1117/12.2651358
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Ultrasound (US)-guided diffuse optical tomography (DOT) has demonstrated success in breast cancer diagnosis. However, DOT data pre-processing and reconstruction still require some level of manual operation, for example, contralateral reference selection and data cleaning. In this study, we introduce an automated data pre-processing and reconstruction pipeline to accelerate the DOT clinical translation. The pipeline has integrated several data pre-processing modules and reconstruction methods that are adapted to data. The pipeline is implemented using a graphical user interface. Initial testing has shown that it can automate DOT right after the data acquisition and provides an accurate diagnostic score on cancer vs. benign probability.

Conference Presentation

Citation Download Citation

Minghao Xue, Menghao Zhang, Shuying Li, Yun Zou, and Quing Zhu "An automated clinical study pipeline for diffuse optical tomography of breast cancer", Proc. SPIE PC12376, Optical Tomography and Spectroscopy of Tissue XV, PC123760I (7 March 2023); https://doi.org/10.1117/12.2651358

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KEYWORDS

Breast cancer

Diffuse optical tomography

Data processing

Feature extraction

Image classification

Functional imaging

Image quality

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