Malin Malmsjö
Professor
Two photoacoustic spectral coloring compensation techniques adapted to the context of human in-vivo oxygenation measurements
Author
Summary, in English
Photoacoustic imaging can potentially map oxygen saturation (sO2) non-invasively. However, in-vivo human application is challenging due to spectral coloring, which causes a wavelength-dependent fluence attenuation and uncertainty in the estimation of chromophore concentrations deep in tissue. This study compares the performances of two previously proposed methods for spectral coloring compensation on in-vivo human data. Both methods have been modified and adapted to this context. The first modified method was evaluated using a tissue-mimicking phantom, showing restoration of the original spectrum of the target and decreasing the relative mean square error from 65% to 1.2% for the highest concentration. Spatial maps of sO2 were estimated from in-vivo human finger measurements using both methods and compared with linear unmixing. Both methods reconstructed comparable values of sO2 and reduced depth-dependent changes in sO2, typically seen with linear unmixing, resulting in a gradient of saturation closer to zero as expected physiologically.
Department/s
- LU Profile Area: Light and Materials
- LTH Profile Area: Engineering Health
- Division for Biomedical Engineering
- LTH Profile Area: Photon Science and Technology
- Ophthalmology Imaging Research Group
- Solid State Physics
- LTH Profile Area: Nanoscience and Semiconductor Technology
- NanoLund: Centre for Nanoscience
- Clinical and experimental lung transplantation
- NPWT technology
- Biomedical Engineering (M.Sc.Eng.)
Publishing year
2025-06-01
Language
English
Pages
2217-2231
Publication/Series
Biomedical Optics Express
Volume
16
Issue
6
Document type
Journal article
Publisher
Optical Society of America
Topic
- Medical Laboratory Technologies
- Ophthalmology
Status
Published
Research group
- Ophthalmology Imaging Research Group
- Clinical and experimental lung transplantation
- NPWT technology
ISBN/ISSN/Other
- ISSN: 2156-7085