Presentation
28 April 2022 Multifrequency and matrix conditioning for FD HD-DOT
Max deJong, Guy Perkins, Hamid Deghani, Adam Eggebrecht
Author Affiliations +
Proceedings Volume PC11946, Neural Imaging and Sensing 2022; PC119460Q (2022) https://doi.org/10.1117/12.2610283
Event: SPIE BiOS, 2022, San Francisco, California, United States
Abstract
High density diffuse optical tomography (HD-DOT) is a functional neuroimaging method that uses multiple overlapping and multi-distance functional near-infrared spectroscopy measurements in a dense grid array. Herein, we investigate multiple frequency and matrix scaling strategies to improve frequency domain HD-DOT methods and use simulations of point spread functions in anatomical models to assess the improvement attainable over standard methods. We observe a small improvement in image quality metrics by adding multiple modulation frequencies, and a significant improvement after column scaling sensitivity matrices. These methods may advance image quality of HD-DOT beyond current limitations.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Max deJong, Guy Perkins, Hamid Deghani, and Adam Eggebrecht "Multifrequency and matrix conditioning for FD HD-DOT", Proc. SPIE PC11946, Neural Imaging and Sensing 2022, PC119460Q (28 April 2022); https://doi.org/10.1117/12.2610283
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KEYWORDS
Image quality

Head

3D modeling

Systems modeling

Model-based design

Tissue optics

Quality systems

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