Infant head subsurface imaging using high-density diffuse optical tomography and machine learning

Ganesh M. Balasubramaniam; Gokul Manavalan; Ami Hauptman; Shlomi Arnon

doi:10.1117/12.2670930

20 September 2023 Infant head subsurface imaging using high-density diffuse optical tomography and machine learning

Ganesh M. Balasubramaniam, Gokul Manavalan, Ami Hauptman, Shlomi Arnon

Author Affiliations +

Proceedings Volume 12628, Diffuse Optical Spectroscopy and Imaging IX; 126280U (2023) https://doi.org/10.1117/12.2670930
Event: European Conferences on Biomedical Optics, 2023, Munich, Germany

Abstract

Infant head injuries and damage can be caused by various factors such as tumors or physical trauma. The treatment for a head injury will depend on the severity of the damage. Nevertheless, the infant’s head should be imaged before any treatment. High-density diffuse optical tomography (HD-DOT) is a non-invasive imaging technology that can be employed for subsurface imaging of the infant brain. However, there are problems with HD-DOT, such as low resolution, ill-posedness of the inverse problem, and high computational costs. In this study, to improve subsurface imaging of the infant head, an extreme gradient boosting (XGBoost) algorithm is combined with HD-DOT. The proposed method is then used to detect subsurface anomalies in the infant head. The proposed method achieves a similarity index greater than 0.97 in terms of cosine similarity and less than 0.12 in terms of the root mean square error, demonstrating its effectiveness. Moreover, the proposed method requires a minimal dataset compared to conventional deep learning methods and consumes significantly less time to train. The results of this study suggest that the proposed method can provide a promising alternative for subsurface imaging of the infant head, which could significantly impact the medical imaging field in the future.

Citation Download Citation

Ganesh M. Balasubramaniam, Gokul Manavalan, Ami Hauptman, and Shlomi Arnon "Infant head subsurface imaging using high-density diffuse optical tomography and machine learning", Proc. SPIE 12628, Diffuse Optical Spectroscopy and Imaging IX, 126280U (20 September 2023); https://doi.org/10.1117/12.2670930

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KEYWORDS

Head

Diffuse optical imaging

Diffuse optical tomography

Machine learning

Injuries

Imaging technologies

Inverse problems

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