ArticlePhotoacoustics2019
Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis.
Article in Photoacoustics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications.Visual computing for industry, biomedicine, and art · 2026Review
- Review on Multispectral Photoacoustic Imaging Using Stimulated Raman Scattering Light Sources.Sensors (Basel, Switzerland) · 2025Review
- Review
- Near-infrared multispectral photoacoustic analysis of lipids and intraplaque hemorrhage in human carotid artery atherosclerosis.Photoacoustics · 2024Article
- Optoacoustic biomarkers of lipids, hemorrhage and inflammation in carotid atherosclerosis.Frontiers in cardiovascular medicine · 2023Review
- Dual-wavelength photoacoustic atlas method to estimate fractional methylene blue and hemoglobin contents.Journal of biomedical optics · 2022Article
- Superpixel spectral unmixing framework for the volumetric assessment of tissue chromophores: A photoacoustic data-driven approach.Photoacoustics · 2022Article
- Advanced Ultrasound and Photoacoustic Imaging in Cardiology.Sensors (Basel, Switzerland) · 2021Review
- Towards in vivo photoacoustic imaging of vulnerable plaques in the carotid artery.Biomedical optics express · 2021Article
- Automatic threshold selection algorithm to distinguish a tissue chromophore from the background in photoacoustic imaging.Biomedical optics express · 2021Article
- Article
- An Automatic Unmixing Approach to Detect Tissue Chromophores from Multispectral Photoacoustic Imaging.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multi-spectral photoacoustic imaging (MSPAI) is promising for morphology assessment of carotid plaques; however, obtaining unique spectral characteristics of chromophores is cumbersome. We used MSPAI and non-negative independent component analysis (ICA) to unmix distinct signal sources in human carotid plaques blindly. The feasibility of the method was demonstrated on a plaque phantom with hemorrhage and cholesterol inclusions, and plaque endarterectomy samples
Indexed as
Identifiers
What OpenQuestion holds
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.