ArticleIEEE transactions on medical imaging2017
Noncontact 3-D Speckle Contrast Diffuse Correlation Tomography of Tissue Blood Flow Distribution.
Article in IEEE transactions on medical imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Noncontact diffuse optical imaging of blood flow and oxygenation distributions in reconstructive rat skin flaps.Biomedical optics express · 2025Article
- AI-assisted diffuse correlation tomography for identifying breast cancer.Journal of biomedical optics · 2025Article
- Article
- Programmable scanning diffuse speckle contrast imaging of cerebral blood flow.Neurophotonics · 2025Article
- Article
- Comprehensive workflow and its validation for simulating diffuse speckle statistics for optical blood flow measurements.Biomedical optics express · 2024Article
- Detection of low-frequency oscillations in neonatal piglets with speckle contrast diffuse correlation tomography.Journal of biomedical optics · 2023Article
- Depth-sensitive diffuse speckle contrast topography for high-density mapping of cerebral blood flow in rodents.Neurophotonics · 2023Article
- A Wearable Fiber-Free Optical Sensor for Continuous Monitoring of Cerebral Blood Flow in Freely Behaving Mice.IEEE transactions on bio-medical engineering · 2023Article
- Co-registered speckle contrast optical tomography and frequency domain-diffuse optical tomography for imaging of the fifth metatarsal.Biomedical optics express · 2022Article
- Extraction of tissue optical property and blood flow from speckle contrast diffuse correlation tomography (scDCT) measurements.Biomedical optics express · 2021Article
- Speckle contrast diffuse correlation tomography of cerebral blood flow in perinatal disease model of neonatal piglets.Journal of biophotonics · 2021Article
- Collimating micro-lens fiber array for noncontact near-infrared diffuse correlation tomography.Biomedical optics express · 2021Article
- Simultaneous measurements of tissue blood flow and oxygenation using a wearable fiber-free optical sensor.Journal of biomedical optics · 2021Article
- Noncontact optical imaging of brain hemodynamics in preterm infants: a preliminary study.Physics in medicine and biology · 2020Article
- Noncontact Speckle Contrast Diffuse Correlation Tomography of Blood Flow Distributions in Burn Wounds: A Preliminary Study.Military medicine · 2020Article
- The Role of Intraoperative Laser Speckle Imaging in Reducing Postoperative Complications in Breast Reconstruction.Plastic and reconstructive surgery · 2019Article
- Recovery of the diffuse correlation spectroscopy data-type from speckle contrast measurements: towards low-cost, deep-tissue blood flow measurements.Biomedical optics express · 2019Article
- High-density speckle contrast optical tomography of cerebral blood flow response to functional stimuli in the rodent brain.Neurophotonics · 2019Article
- Noninvasive noncontact speckle contrast diffuse correlation tomography of cerebral blood flow in rats.NeuroImage · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Recent advancements in near-infrared diffuse correlation techniques and instrumentation have opened the path for versatile deep tissue microvasculature blood flow imaging systems. Despite this progress there remains a need for a completely noncontact, noninvasive device with high translatability from small/testing (animal) to large/target (human) subjects with trivial application on both. Accordingly, we discuss our newly developed setup which meets this demand, termed noncontact speckle contrast diffuse correlation tomography (nc_scDCT). The nc_scDCT provides fast, continuous, portable, noninvasive, and inexpensive acquisition of 3-D tomographic deep (up to 10 mm) tissue blood flow distributions with straightforward design and customization. The features presented include a finite-element-method implementation for incorporating complex tissue boundaries, fully noncontact hardware for avoiding tissue compression and interactions, rapid data collection with a diffuse speckle contrast method, reflectance-based design promoting experimental translation, extensibility to related techniques, and robust adjustable source and detector patterns and density for high resolution measurement with flexible regions of interest enabling unique application-specific setups. Validation is shown in the detection and characterization of both high and low contrasts in flow relative to the background using tissue phantoms with a pump-connected tube (high) and phantom spheres (low). Furthermore, in vivo validation of extracting spatiotemporal 3-D blood flow distributions and hyperemic response during forearm cuff occlusion is demonstrated. Finally, the success of instrument feasibility in clinical use is examined through the intraoperative imaging of mastectomy skin flap.
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.