Hyperspectral imaging with deep learning for quantification of tissue hemoglobin, melanin, and scattering
<i>In vivo</i> finger occlusion and gingival abrasion studies demonstrate the ability of this approach to rapidly generate high-resolution images of tissue component concentrations from a hyperspectral dataset acquired from human subjects.
Authors
- Thomas T. Livecchi (ORCID: https://orcid.org/0000-0003-1007-6423)
- Steven L. Jacques (ORCID: https://orcid.org/0000-0001-5350-7671)
- Hrebesh M. Subhash
- Mark C. Pierce (ORCID: https://orcid.org/0000-0003-4377-9547)
Institutions
- Rutgers, The State University of New Jersey (US)
- University of Washington (US)
- Colgate-Palmolive (United States) (US)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2024-09-06
- DOI
- https://doi.org/10.1117/1.jbo.29.9.093507
- Citations
- 5
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- Colgate-Palmolive Company