Evidence map›Paper›PMID 27532501›Full record

ArticleJournal of magnetic resonance imaging : JMRI2017

First-pass myocardial perfusion MRI with reduced subendocardial dark-rim artifact using optimized Cartesian sampling.

Zhengwei Zhou, Xiaoming Bi, Janet Wei, Hsin-Jung Yang, Rohan Dharmakumar, Reza Arsanjani, C Noel Bairey Merz, Debiao Li, Behzad Sharif

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023
    Article
  4. Article
  5. A Patch-Wise Deep Learning Approach for Myocardial Blood Flow Quantification with Robustness to Noise and Nonrigid Motion.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021
    Article
  6. Retrospective Detection and Suppression of Dark-Rim Artifacts in First-Pass Perfusion Cardiac MRI Enabled by Deep Learning.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021
    Article
  7. Article
  8. Myocardial perfusion cardiovascular magnetic resonance: optimized dual sequence and reconstruction for quantification.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    Article
  9. Review
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

9 authors.

Zhengwei ZhouBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Xiaoming BiSiemens Healthcare, Los Angeles, California, USA.
Janet WeiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Hsin-Jung YangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Rohan DharmakumarBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Reza ArsanjaniBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
C Noel Bairey MerzDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Behzad SharifBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Funding

Reliable Evaluation of Coronary Artery Disease using Myocardial BOLD MRI with CO2R01HL091989 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DHARMAKUMAR, ROHAN · 2008 to 2016
$3.5M
Whole-Heart Myocardial Blood Flow Quantification Using MRIR01HL124649 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI LI, DEBIAO · 2015 to 2018
$3.3M
Accurate Perfusion MRI for Improved Diagnosis of Microvascular Coronary DiseaseR00HL124323 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SHARIF, BEHZAD · 2017 to 2019
$747k
Accurate Perfusion MRI for Improved Diagnosis of Microvascular Coronary DiseaseK99HL124323 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SHARIF, BEHZAD · 2014 to 2015
$276k
NHLBI NIH HHS K99 HL124323NHLBI NIH HHS R00 HL124323NHLBI NIH HHS R01 HL091989NHLBI NIH HHS R01 HL124649
6 · The paper itself

Abstract

purposeThe presence of subendocardial dark-rim artifact (DRA) remains an ongoing challenge in first-pass perfusion (FPP) cardiac magnetic resonance imaging (MRI). We propose a free-breathing FPP imaging scheme with Cartesian sampling that is optimized to minimize the DRA and readily enables near-instantaneous image reconstruction. MATERIALS AND

methodsThe proposed FPP method suppresses Gibbs ringing effects-a major underlying factor for the DRA-by "shaping" the underlying point spread function through a two-step process: 1) an undersampled Cartesian sampling scheme that widens the k-space coverage compared to the conventional scheme; and 2) a modified parallel-imaging scheme that incorporates optimized apodization (k-space data filtering) to suppress Gibbs-ringing effects. Healthy volunteer studies (n = 10) were performed to compare the proposed method against the conventional Cartesian technique-both using a saturation-recovery gradient-echo sequence at 3T. Furthermore, FPP imaging studies using the proposed method were performed in infarcted canines (n = 3), and in two symptomatic patients with suspected coronary microvascular dysfunction for assessment of myocardial hypoperfusion.

resultsWidth of the DRA and the number of DRA-affected myocardial segments were significantly reduced in the proposed method compared to the conventional approach (width: 1.3 vs. 2.9 mm, P < 0.001; number of segments: 2.6 vs. 8.7; P < 0.0001). The number of slices with severe DRA was markedly lower for the proposed method (by 10-fold). The reader-assigned image quality scores were similar (P = 0.2), although the quantified myocardial signal-to-noise ratio was lower for the proposed method (P < 0.05). Animal studies showed that the proposed method can detect subendocardial perfusion defects and patient results were consistent with the gold-standard invasive test.

conclusionThe proposed free-breathing Cartesian FPP imaging method significantly reduces the prevalence of severe DRAs compared to the conventional approach while maintaining similar resolution and image quality. LEVEL OF EVIDENCE: 2 J. Magn. Reson. Imaging 2017;45:542-555.

Indexed as

ArtifactsSignal Processing, Computer-AssistedAlgorithmsAnimalsCoronary Artery DiseaseDogsEndocardiumFemaleImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance AngiographyMaleMyocardial Perfusion ImagingReproducibility of ResultsSample SizeSensitivity and Specificitydark rim artifactfirst pass perfusionGibbs ringingischemic heart diseasemyocardial perfusionsubendocardial ischemia

Identifiers

PMID27532501
PMCPMC5550286

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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.