Evidence map›Paper›PMID 39253639›Full record

ArticleArXiv2024

Programmable scanning diffuse speckle contrast imaging of cerebral blood flow.

Faezeh Akbari, Xuhui Liu, Fatemeh Hamedi, Mehrana Mohtasebi, Lei Chen, Guoqiang Yu

Abstract readPreprint
In one paragraph

Article in ArXiv, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Faezeh AkbariUniversity of Kentucky, Department of Biomedical Engineering, Lexington, KY, USA.
Xuhui LiuUniversity of Kentucky, Department of Biomedical Engineering, Lexington, KY, USA.
Fatemeh HamediUniversity of Kentucky, Department of Biomedical Engineering, Lexington, KY, USA.
Mehrana MohtasebiUniversity of Kentucky, Department of Biomedical Engineering, Lexington, KY, USA.
Lei ChenUniversity of Kentucky, Spinal Cord and Brain Injury Research Center, Department of Physiology, Lexington, KY, USA.
Guoqiang YuUniversity of Kentucky, Department of Biomedical Engineering, Lexington, KY, USA.

Funding

Noninvasive Noncontact High-Density Optical Imaging of Neonatal Intraventricular HemorrhageR01HD101508 · NICHD · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2020 to 2024
$2.7M
Time-resolved laser speckle contrast imaging of resting-state functional connectivity in neonatal brainR42MH135825 · NIMH · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2023 to 2025
$2.1M
Development of a Wearable Fluorescence Imaging Device for IntraoperativeIdentification of Brain TumorsR42CA243600 · NCI · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2023 to 2025
$2.0M
Perioperative Diffuse Optical Imaging of Tissue Blood Flow and Oxygenation for Optimization of Mastectomy Skin Flap ViabilityR01EB028792 · NIBIB · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2020 to 2024
$1.9M
High-density optical tomography of cerebral blood flow and metabolism in small animalsR41NS122722 · NINDS · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2021 to 2022
$688k
Continuous and Longitudinal Monitoring of Cerebral Blood Flow and Metabolism in Freely Moving RodentsR56NS117587 · NINDS · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2020 to 2020
$613k
A Multiscale Multimodal Diffuse Optical Device for Early Detection of Preclinical Alzheimer’s DiseaseR21HD091118 · NICHD · UNIVERSITY OF KENTUCKY · PI YU, GUOQIANG · 2018 to 2019
$568k
Implementing a novel, multimodal technique for monitoring cerebrovascular hemodynamics in mice as a diagnostic and prognostic tool for single and repeated mild TBIR21NS114771 · NINDS · UNIVERSITY OF KENTUCKY · PI SAATMAN, KATHRYN E · 2020 to 2020
$421k
Development of a Wearable Fluorescence Imaging Device for Intraoperative Identification of Brain TumorsR41CA243600 · NCI · BIOPTICSTECHNOLOGY, LLC · PI YU, GUOQIANG · 2019 to 2019
$210k
NCI NIH HHS R41 CA243600NCI NIH HHS R42 CA243600NIBIB NIH HHS R01 EB028792NICHD NIH HHS R01 HD101508NICHD NIH HHS R21 HD091118NIMH NIH HHS R42 MH135825NINDS NIH HHS R21 NS114771NINDS NIH HHS R41 NS122722NINDS NIH HHS R56 NS117587
6 · The paper itself

Abstract

Significance: Cerebral blood flow (CBF) imaging is crucial for diagnosing cerebrovascular diseases. However, existing large neuroimaging techniques with high cost, low sampling rate, and poor mobility make them unsuitable for continuous and longitudinal CBF monitoring at the bedside. Aim: This study aimed to develop a low-cost, portable, programmable scanning diffuse speckle contrast imaging (PS-DSCI) technology for fast, high-density, and depth-sensitive imaging of CBF in rodents. Approach: The PS-DSCI employed a programmable digital micromirror device (DMD) for remote line-shape laser (785 nm) scanning on tissue surface and synchronized a 2D camera for capturing boundary diffuse laser speckle contrasts. New algorithms were developed to address deformations of line-shape scanning, thus minimizing CBF reconstruction artifacts. The PS-DSCI was examined in head-simulating phantoms and adult mice. Results: The PS-DSCI enables resolving Intralipid particle flow contrasts at different tissue depths. Conclusions: Compared to conventional point scanning, the line scanning in PS-DSCI significantly increases spatiotemporal resolution. The high sampling rate of PS-DSCI is crucial for capturing rapid CBF changes while high spatial resolution is important for visualizing brain vasculature.

Indexed as

cerebral blood flowdiffuse opticsdigital micromirror deviceline-shape scanningspeckle contrast imaging

Identifiers

PMID39253639
PMCPMC11383439

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.