Evidence map›Paper›PMID 28497620›Full record

ArticleMagnetic resonance in medicine2018

Accelerated whole-heart MR angiography using a variable-density poisson-disc undersampling pattern and compressed sensing reconstruction.

Mehdi H Moghari, Martin Uecker, Sébastien Roujol, Majid Sabbagh, Tal Geva, Andrew J Powell

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Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mehdi H MoghariDepartment of Cardiology, Boston Children's Hospital, and the Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.
Martin UeckerGerman Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany, and Department of Diagnostic and Interventional Radiology, University Medical Center, Göttingen, Germany.ORCID 0000-0002-8850-809X
Sébastien RoujolDivision of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St. Thomas' Hospital, London, United Kingdom.
Majid SabbaghDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts, USA.
Tal GevaDepartment of Cardiology, Boston Children's Hospital, and the Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.
Andrew J PowellDepartment of Cardiology, Boston Children's Hospital, and the Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.

Funding

Harvard Clinical and Translational Science CenterKL2TR001100 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$8.5M
NCATS NIH HHS KL2 TR001100
6 · The paper itself

Abstract

purposeTo accelerate whole-heart three-dimension MR angiography (MRA) by using a variable-density Poisson-disc undersampling pattern and a compressed sensing (CS) reconstruction algorithm, and compare the results with sensitivity encoding (SENSE).

methodsFor whole-heart MRA, a prospective variable-density Poisson-disc k-space undersampling pattern was developed in which 1-2% of central part of k-space was fully sampled, and sampling in the remainder decreased exponentially toward the periphery. The undersampled data were then estimated using CS reconstruction. In patients, images using this sequence with an undersampling rate of ≈6 were compared with those using a SENSE rate of 2 (n = 15) and a SENSE rate of 6 (n = 13).

resultsCompared with SENSE rate 2, CS rate 6 images had similar objective border sharpness, significantly lower subjective image quality scores at all four locations (all P < 0.01), and shorter scan times (P < 0.05). Compared with SENSE rate 6, CS rate 6 had similar objective border sharpness at all four locations, significantly better subjective image quality scores at three of four locations (all P < 0.01), and similar scan times (P = 0.24).

conclusionCompared with SENSE with a comparable acceleration rate, a variable-density Poisson-disc undersampling pattern and CS reconstruction achieved better subjective image quality and similar border sharpness. Magn Reson Med 79:761-769, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

AdolescentAdultAlgorithmsChildChild, PreschoolFemaleHeartHumansImage Processing, Computer-AssistedMagnetic Resonance AngiographyMalePoisson DistributionYoung Adultcompressed sensingrespiratory motionself-navigatorvariable-density undersamplingwhole-heart magnetic resonance angiography

Identifiers

PMID28497620
PMCPMC6487645

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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.