Difference Imaging From Single Measurements in Diffuse Optical Tomography: A Deep Learning Approach

Shuying Li; Menghao Zhang; Quing Zhu; Quing Zhu

doi:10.1364/OTS.2022.OW4D.3

Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN)
Technical Digest Series (Optica Publishing Group, 2022),
paper OW4D.3
•https://doi.org/10.1364/OTS.2022.OW4D.3

Difference Imaging From Single Measurements in Diffuse Optical Tomography: A Deep Learning Approach

Shuying Li, Menghao Zhang, and Quing Zhu

Optical Tomography and Spectroscopy 2022

Fort Lauderdale, Florida United States
24–27 April 2022
ISBN: 978-1-957171-03-6

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Novel Processing Methods in Diffuse Optics (OW4D)

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S. Li, M. Zhang, and Q. Zhu, "Difference Imaging From Single Measurements in Diffuse Optical Tomography: A Deep Learning Approach," in Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), Technical Digest Series (Optica Publishing Group, 2022), paper OW4D.3.

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Abstract

An artificial neural network (ANN) was designed to generate data for DOT difference imaging from target measurements only. The model was trained and validated on simulation data and was tested using phantom and patient data.

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