Photometry for scalp morphology estimation for optical functional neuroimaging

Abigail L. Magee; Calamity Svoboda; Alvin S. Agato; Ed Richter; Joseph P. Culver; Adam T. Eggebrecht

doi:10.1117/12.2608326

4 March 2022 Photometry for scalp morphology estimation for optical functional neuroimaging

Abigail L. Magee, Calamity Svoboda, Alvin S. Agato, Ed Richter, Joseph P. Culver, Adam T. Eggebrecht

Proceedings Volume 11946, Neural Imaging and Sensing 2022; 1194604 (2022) https://doi.org/10.1117/12.2608326
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Image reconstruction with functional near infrared spectroscopy (fNIRS) and high density diffuse optical tomography (HD-DOT) rely on anatomical models that adequately capture the head size and shape for accurate data registration. Optical brain imaging studies in infants and toddlers without MRI present challenges in model generation because individual differences in scalp morphometry across early development lead to poor matches with atlas-based models. Additionally, current photometric methods are limited due to the presence of hair. We present herein the scalp surface estimation technique, validated with participant specific MRI, that accurately provides the head shape in the presence of hair.

Conference Presentation

Citation Download Citation

Abigail L. Magee, Calamity Svoboda, Alvin S. Agato, Ed Richter, Joseph P. Culver, and Adam T. Eggebrecht "Photometry for scalp morphology estimation for optical functional neuroimaging", Proc. SPIE 11946, Neural Imaging and Sensing 2022, 1194604 (4 March 2022); https://doi.org/10.1117/12.2608326

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