Evidence map›Paper›PMID 28880152›Full record

ArticleIEEE journal of biomedical and health informatics2017

An Open Benchmark Challenge for Motion Correction of Myocardial Perfusion MRI.

Beau Pontre, Brett R Cowan, Edward DiBella, Sancgeetha Kulaseharan, Devavrat Likhite, Nils Noorman, Lennart Tautz, Nicholas Tustison, Gert Wollny, Alistair A Young and 1 more

Abstract read
In one paragraph

Article in IEEE journal of biomedical and health informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  8. AI in Medical Imaging Informatics: Current Challenges and Future Directions.IEEE journal of biomedical and health informatics · 2020
    Article
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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

11 authors.

Beau Pontre
Brett R Cowan
Edward DiBella
Sancgeetha Kulaseharan
Devavrat Likhite
Nils Noorman
Lennart Tautz
Nicholas Tustison
Gert Wollny
Alistair A Young
Avan Suinesiaputra

Funding

The Cardiac Atlas ProjectR01HL121754 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D., OMENS, JEFFREY H. · 2014 to 2023
$5.0M
Quantitative cardiac MRI perfusion for longitudinal studiesR01HL113224 · NHLBI · UNIVERSITY OF UTAH · PI DIBELLA, EDWARD VR · 2012 to 2015
$2.0M
The Cardiac Atlas Project: Establishment of a Cardiac MRI Database.R01HL087773 · NHLBI · UNIVERSITY OF AUCKLAND · PI YOUNG, ALISTAIR ANDREW · 2008 to 2010
$1.4M
NHLBI NIH HHS R01 HL087773NHLBI NIH HHS R01 HL113224NHLBI NIH HHS R01 HL121754
6 · The paper itself

Abstract

Cardiac magnetic resonance perfusion examinations enable noninvasive quantification of myocardial blood flow. However, motion between frames due to breathing must be corrected for quantitative analysis. Although several methods have been proposed, there is a lack of widely available benchmarks to compare different algorithms. We sought to compare many algorithms from several groups in an open benchmark challenge. Nine clinical studies from two different centers comprising normal and diseased myocardium at both rest and stress were made available for this study. The primary validation measure was regional myocardial blood flow based on the transfer coefficient (K

Indexed as

Cardiac Imaging TechniquesImage Processing, Computer-AssistedMagnetic Resonance AngiographyAlgorithmsBenchmarkingHeartHumansMovement

Identifiers

PMID28880152
PMCPMC5658235

What OpenQuestion holds

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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.