Evidence map›Paper›PMID 36695674›Full record

ArticleIEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference2022

FlowMorph: Morphological Segmentation of Ultrasound-Monitored Spinal Cord Microcirculation.

Denis Routkevitch, Andrew M Hersh, Kelley M Kempski, Max Kerensky, Nicholas Theodore, Nitish V Thakor, Amir Manbachi

Abstract read
In one paragraph

Article in IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference, 2022. 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

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

7 authors.

Denis RoutkevitchJohns Hopkins University, Baltimore, Maryland 21205.
Andrew M HershJohns Hopkins University, Baltimore, Maryland 21205.
Kelley M KempskiJohns Hopkins University, Baltimore, Maryland 21205.
Max KerenskyJohns Hopkins University, Baltimore, Maryland 21205.
Nicholas TheodoreJohns Hopkins University, Baltimore, Maryland 21205.
Nitish V ThakorJohns Hopkins University, Baltimore, Maryland 21205.
Amir ManbachiJohns Hopkins University, Baltimore, Maryland 21205.

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
Consequences of Cardiac Arrest: Brain InjuryR01HL071568 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI GEOCADIN, ROMERGRYKO, THAKOR, NITISH VYOMESH · 2003 to 2022
$8.4M
Translational Technologies for Ameliorating Brain InjuryR01HL139158 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KANNAN, SUJATHA, THAKOR, NITISH VYOMESH · 2018 to 2021
$2.1M
NHLBI NIH HHS R01 HL071568NHLBI NIH HHS R01 HL139158NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

Imaging of spinal cord microvasculature holds great potential in directing critical care management of spinal cord injury (SCI). Traditionally, contrast agents are preferred for imaging of the spinal cord vasculature, which is disadvantageous for long-term monitoring of injury. Here, we present FlowMorph, an algorithm that uses mathematical morphology techniques to segment non-contrast Doppler-based videos of rat spinal cord. Using the segmentation, it measures single-vessel parameters such as flow velocity, rate, and radius, with visible cardiac cycles in individual vessels showcasing the spatiotemporal resolution. The segmentation outlines vessels well with little extraneous labeling, and outlines are smooth through time. Radius measurements of perforating vessels are similar to what is seen in the literature through other methods. Verification of the algorithm through comparison to manual measurement and

Indexed as

blood flowmathematical morphologynon-contrastspinal cordUltrasound

Identifiers

PMID36695674
PMCPMC9870043

What OpenQuestion holds

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Registered trials

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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.