Photometric Scalp Morphology Estimation through Hair for Optical Functional Neuroimaging

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

doi:10.1364/BRAIN.2022.BM2C.2

Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN)
Technical Digest Series (Optica Publishing Group, 2022),
paper BM2C.2
•https://doi.org/10.1364/BRAIN.2022.BM2C.2

Photometric Scalp Morphology Estimation through Hair for Optical Functional Neuroimaging

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

Optics and the Brain 2022

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

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Functional Neuroimaging (BM2C)

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A. L. Magee, C. Svoboda, A. Agato, E. Richter, J. P. Culver, and A. T. Eggebrecht, "Photometric Scalp Morphology Estimation through Hair for Optical Functional Neuroimaging," in Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), Technical Digest Series (Optica Publishing Group, 2022), paper BM2C.2.

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Abstract

Optical functional neuroimaging relies on accurate anatomical models of head size and shape for optimal data registration and image reconstruction. Herein, we establish and validate photometric methods for scalp morphology estimation through hair.

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