The study on fast localization method of anomaly block in brain based on differential optical density

Huiquan Wang; Lina Ren; Zhe Zhao; Jinhai Wang; Hongli Chen

doi:10.1117/12.2288987

12 February 2018 The study on fast localization method of anomaly block in brain based on differential optical density

Huiquan Wang, Lina Ren, Zhe Zhao, Jinhai Wang, Hongli Chen

Proceedings Volume 10484, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI; 1048415 (2018) https://doi.org/10.1117/12.2288987
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

The location of the source-detector relative to the anomaly whose optical properties is different from normal tissue has an important influence on the detection effect based on near - infrared spectroscopy for intracranial anomaly detection. In this study we propose a distribution structure of Single-Source Multi-Detectors (SS-MD) in order to realize the rapid localization of intracranial anomaly. A novel approach we use differential optical density difference to determine the location of anomaly, since the shape of the differential optical density curve of the two adjacent detectors is significantly related to the position of the anomaly.The finite element optical simulations were performed on anomaly with different sizes, horizontal positions and depths using SS-MD distribution structure. The distribution structure of SS-MD and the differential optical density difference curve can be used to quickly and accurately realize the localization of the anomaly, which plays an important role in optimizing the location of the source-detectors in the near infrared spectroscopy and improving the accuracy of the clinical detection of anomaly.

Citation Download Citation

Huiquan Wang, Lina Ren, Zhe Zhao, Jinhai Wang, and Hongli Chen "The study on fast localization method of anomaly block in brain based on differential optical density", Proc. SPIE 10484, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI, 1048415 (12 February 2018); https://doi.org/10.1117/12.2288987

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