ArticleBiomedical optics express2015
Wide-field fluorescence molecular tomography with compressive sensing based preconditioning.
Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Widefield ultra-high-density optical breast tomography system supplementing x-ray mammography.Scientific reports · 2025Article
- Medium-adaptive compressive diffuse optical tomography.Biomedical optics express · 2024Article
- Compact breast shape acquisition system for improving diffuse optical tomography image reconstructions.Biomedical optics express · 2023Article
- Deep learning in macroscopic diffuse optical imaging.Journal of biomedical optics · 2022Review
- Deep Learning in Biomedical Optics.Lasers in surgery and medicine · 2021Review
- System configuration optimization for mesoscopic fluorescence molecular tomography.Biomedical optics express · 2019Article
- Comparison of illumination geometry for lifetime-based measurements in whole-body preclinical imaging.Journal of biophotonics · 2018Article
- Direct approach to compute Jacobians for diffuse optical tomography using perturbation Monte Carlo-based photon "replay".Biomedical optics express · 2018Article
- Review of structured light in diffuse optical imaging.Journal of biomedical optics · 2018Review
- Image reconstruction in fluorescence molecular tomography with sparsity-initialized maximum-likelihood expectation maximization.Biomedical optics express · 2018Article
- Improving mesoscopic fluorescence molecular tomography via preconditioning and regularization.Biomedical optics express · 2018Article
- Improving mesoscopic fluorescence molecular tomography through data reduction.Biomedical optics express · 2017Article
- Generalized mesh-based Monte Carlo for wide-field illumination and detection via mesh retessellation.Biomedical optics express · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Wide-field optical tomography based on structured light illumination and detection strategies enables efficient tomographic imaging of large tissues at very fast acquisition speeds. However, the optical inverse problem based on such instrumental approach is still ill-conditioned. Herein, we investigate the benefit of employing compressive sensing-based preconditioning to wide-field structured illumination and detection approaches. We assess the performances of Fluorescence Molecular Tomography (FMT) when using such preconditioning methods both in silico and with experimental data. Additionally, we demonstrate that such methodology could be used to select the subset of patterns that provides optimal reconstruction performances. Lastly, we compare preconditioning data collected using a normal base that offers good experimental SNR against that directly acquired with optimal designed base. An experimental phantom study is provided to validate the proposed technique.
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.