Evidence map›Paper›PMID 33156785›Full record

ArticleIEEE transactions on medical imaging2021

Improved Color Doppler for Cerebral Blood Flow Axial Velocity Imaging.

Jianbo Tang, Kivilcim Kilic, Thomas L Szabo, David A Boas

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
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

6 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Jianbo Tang
Kivilcim Kilic
Thomas L Szabo
David A Boas
Southern University of Science and Technology · CNUniversity of California, Los Angeles · US

Funding

The impact of microvascular (dys)regulation on cerebral flow and oxygen heterogeneityR01NS108472 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BOAS, DAVID A, SCHAFFER, CHRIS B · 2018 to 2022
$3.2M
Microscopic Imaging of Tissue Oxygen Delivery Altered by Microvascular ChangesR01EB021018 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 2015 to 2018
$2.9M
Dual-modal ultrasound velocimetry and photoacoustic oximetry of entire rodent brain for Alzheimer's Disease studyK99AG063762 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI TANG, JIANBO · 2020 to 2020
$115k
NIA NIH HHS K99 AG063762NIBIB NIH HHS R01 EB021018NINDS NIH HHS R01 NS108472
6 · The paper itself

Abstract

Conventional color Doppler ultrasound imaging suffers from mutual frequency cancellation when applied to quantify axial blood flow velocities in the rodent brain where inverse flows exist within an ultrasound measurement voxel. Here, we report an improved color Doppler-based functional ultrasound imaging method (iCD-fUS) for axial blood flow velocity imaging of the rodent brain. By applying a directional filter and high frequency noise thresholding, iCD-fUS is able to accurately quantify blood flow velocities within the brain as validated with the ultrasound localization microscopy velocimetry method. We show that iCD-fUS is able to image and resolve the directional axial blood flow velocity throughout the entire coronal section of the brain at a temporal frame rate of up to 10 Hz with a spatial resolution of ~100 [Formula: see text]. We further applied iCD-fUS to image the axial blood flow velocity change in response to whisker stimulation in an awake mouse, showing its potential for studying brain activation. With these capabilities, iCD-fUS provides a powerful, quantitative tool for in vivo chronic research.

Indexed as

BrainCerebrovascular CirculationAnimalsBlood Flow VelocityMiceUltrasonography, Doppler

Identifiers

PMID33156785
PMCPMC8098776
OpenAlexW3097481613

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.