ArticleJournal of biomedical optics2024
Artificial neural networks trained on simulated multispectral data for real-time imaging of skin microcirculatory blood oxygen saturation.
Article in Journal of biomedical optics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Enhancing skin tone representation in optical vascular phantoms.Journal of biomedical optics · 2026Article
- Modelling Skin Pigmentation Using the Monte Carlo Technique: A Review.Sensors (Basel, Switzerland) · 2026Review
- Learning to simulate realistic human diffuse reflectance spectra.Journal of biomedical optics · 2026Article
- Anthropomorphic tissue-mimicking phantoms for oximetry validation in multispectral optical imaging.Journal of biomedical optics · 2025Article
- Noninvasive Bedside Approaches for Assessing Microvascular Dysfunction.Journal of vascular research · 2025Review
- Pulse Oximetry: 50 Years of Inventions & Discoveries in Biomedical Optics.Journal of biomedical optics · 2024Article
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Authors and funding
5 authors.
Funding
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Abstract
Significance: Imaging blood oxygen saturation ( Aim: We aim to develop a framework for training ANNs that estimates Approach: ANNs are trained using synthetic data from a model that includes MC simulations of light propagation in tissue and hardware characteristics. The model includes physiologically relevant variations in optical properties, unique sensor characteristics, variations in illumination spectrum, and detector noise. This approach enables a rapid way of generating high-quality training data that covers different tissue types and skin pigmentation. Results: The ANN implementation analyzes an image in 0.11 s, which is at least 10,000 times faster than inverse MC. The hardware modeling is significantly improved by an in-house calibration of the sensor spectral response. An Conclusions: ANN can replace inverse MC and enable real-time imaging of microcirculatory
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.