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Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization
- Source :
- Journal of Biomedical Optics
- Publication Year :
- 2021
- Publisher :
- SPIE-Intl Soc Optical Eng, 2021.
-
Abstract
- Significance: Raman spectroscopy has been developed for surgical guidance applications interrogating live tissue during tumor resection procedures to detect molecular contrast consistent with cancer pathophysiological changes. To date, the vibrational spectroscopy systems developed for medical applications include single-point measurement probes and intraoperative microscopes. There is a need to develop systems with larger fields of view (FOVs) for rapid intraoperative cancer margin detection during surgery. Aim: We design a handheld macroscopic Raman imaging system for in vivo tissue margin characterization and test its performance in a model system. Approach: The system is made of a sterilizable line scanner employing a coherent fiber bundle for relaying excitation light from a 785-nm laser to the tissue. A second coherent fiber bundle is used for hyperspectral detection of the fingerprint Raman signal over an area of 1 cm2. Machine learning classifiers were trained and validated on porcine adipose and muscle tissue. Results: Porcine adipose versus muscle margin detection was validated ex vivo with an accuracy of 99% over the FOV of 95 mm2 in ∼3 min using a support vector machine. Conclusions: This system is the first large FOV Raman imaging system designed to be integrated in the workflow of surgical cancer resection. It will be further improved with the aim of discriminating brain cancer in a clinically acceptable timeframe during glioma surgery.
- Subjects :
- Paper
Scanner
Microscope
Swine
Computer science
Biomedical Engineering
Special Series on Artificial Intelligence and Machine Learning in Biomedical Optics
imaging systems
Spectrum Analysis, Raman
Machine learning
computer.software_genre
law.invention
Machine Learning
Biomaterials
symbols.namesake
Margin (machine learning)
law
Fiber laser
Animals
surgical guidance
Microscopy
Brain Neoplasms
business.industry
macroscopic imaging
Margins of Excision
Hyperspectral imaging
Laser
Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
Imaging spectroscopy
Raman spectroscopy
symbols
Artificial intelligence
business
computer
Subjects
Details
- ISSN :
- 10833668
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Journal of Biomedical Optics
- Accession number :
- edsair.doi.dedup.....341b434be6e5f2068df911efccddb93f