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Wavelength censoring for spectroscopy in optical functional neuroimaging
Brian R White1, Jonah A Padawer-Curry2, Tiffany Ko2
1Division of Pediatric Cardiology, Department of Pediatrics, The Children's Hospital of Philadelphia and The Perelman School of Medicine at the University of Pennsylvania, 3401 Civic Center Blvd., Pediatric Cardiology-8NW, Philadelphia, PA 19104, United States of America.
Novel methods improve optical neuromonitoring by enabling accurate hemoglobin spectroscopy even with wavelength-dependent data loss. Focusing on total hemoglobin enhances robustness and data preservation in neuroimaging studies.
Area of Science:
- Neuroscience
- Biomedical Optics
- Physiological Monitoring
Background:
- Optical neuromonitoring uses spectroscopy to assess brain physiology by measuring changes in oxy- and deoxyhemoglobin concentrations.
- Data quality in optical neuromonitoring can vary significantly across wavelengths, impacting standard spectroscopic methods and limiting field-of-view.
- Existing methods struggle with wavelength-dependent spatial variations in data quality, leading to potential data loss and reduced accuracy.
Purpose of the Study:
- To develop novel methods for robust spectroscopy in optical neuromonitoring, even with wavelength-dependent spatial data variations.
- To investigate the impact of wavelength-based data censoring on the physiological accuracy and utility of hemoglobin spectroscopy.
- To enhance the fidelity of clinical and preclinical functional neuroimaging studies through improved image processing.
Main Methods:
- Developed and assessed novel spectroscopic methods to handle wavelength-dependent spatial variations in optical neuromonitoring data.
- Utilized optical intrinsic signal imaging of resting-state functional connectivity in mice as a tangible application.
- Evaluated all possible subset spectroscopy matrices theoretically, using simulated data, and experimental data, comparing them to the full spectroscopy matrix.
Main Results:
- Accurate calculation of hemoglobin concentration changes and functional connectivity maps was achieved despite censoring of some wavelengths.
- Using changes in total hemoglobin, rather than oxy- or deoxyhemoglobin, proved more robust to experimental noise.
- The total hemoglobin approach allowed for the preservation of more data, improving overall study utility.
Conclusions:
- The developed image processing method significantly enhances the robustness of optical neuromonitoring.
- Accurate neuroimaging is possible even with significant wavelength-dependent data loss, improving data utility.
- Focusing on total hemoglobin changes offers a more resilient approach for functional neuroimaging, improving clinical and preclinical applications.
