Evidence map›Paper›PMID 31805336›Full record

ArticleMagnetic resonance imaging2020

Improved acceleration of phase-contrast flow imaging with magnitude difference regularization.

Taehoon Shin, Wanyong Shin

Abstract read
In one paragraph

Article in Magnetic resonance imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Taehoon ShinDivision of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, South Korea; Department of Medicine, Case Western Reserve University, Cleveland, OH, USA. Electronic address: shinage@gmail.com.
Wanyong ShinRadiology Department, Cleveland Clinic, Cleveland, OH, USA.

Funding

Diversity Suppplement (CIRCADIAN) Circadian Disruption as Mediator of Cardiometabolic Risk in Air PollutionR35ES031702 · NIEHS · CASE WESTERN RESERVE UNIVERSITY · PI Sanjay Rajagopalan · 2021 to 2026
$5.9M
NON-CONTRAST-ENHANCED PERIPHERAL MR ANGIOGRAPHYR01HL135500 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI RAJAGOPALAN, SANJAY, WILSON, DAVID LYNN · 2017 to 2020
$1.5M
NHLBI NIH HHS R01 HL135500NIEHS NIH HHS R35 ES031702
6 · The paper itself

Abstract

purposeTo develop a regularized image reconstruction algorithm for improved scan acceleration of phase-contrast (PC) flow MRI.

methodsBased on the magnitude similarity between bipolar-encoded k-space data, magnitude-difference regularization was incorporated into the conventional compressed sensing (CS) reconstruction. The gradient of the magnitude regularization was derived so the reconstruction problem can be solved using non-linear conjugate gradient with backtracking line search. Phase contrast flow data obtained in the peripheral arteries of healthy and patient subjects were retrospectively undersampled for testing the proposed reconstruction method. Three-dimensional velocity-encoded PC flow MRI was performed with prospective 4-fold undersampling for measuring arotic flow velocity in a healthy volunteer.

resultsIn the femoral arteries of healthy volunteers, the root-mean-square (RMS) errors of mean velocities were 0.56 ± 0.09 cm/s with CS-only reconstruction and 0.46 ± 0.08 cm/s with addition of magnitude regularization for three-fold acceleration; 1.34 ± 0.17 cm/s (CS only) and 1.08 ± 0.15 cm/s (magnitude regularized) for four-fold acceleration. In the iliac arteries of the patient, the RMS errors of mean velocities were 0.72 ± 0.12 cm/s and 0.56 ± 0.10 for three-fold acceleration, and 1.75 ± 0.21 and 1.24 ± 0.19 cm/s for four-fold acceleration (in the order of CS-only and magnitude regularized reconstructions). In the popliteal arteries, the RMS errors were 0.61 ± 0.10 cm/s and 0.42 ± 0.11 for three-fold acceleration, and 1.41 ± 0.19 and 1.12 ± 0.17 cm/s for four-fold acceleration. The maximum through-plane mean flow velocities were measured as 63.2 cm/s and 84.5 cm/s in ascending and descending aortas, respectively.

conclusionThe addition of magnitude-difference regularization into conventional CS reconstruction improves the accuracy of image reconstruction using highly undersampled phase-contrast flow MR data.

Indexed as

AlgorithmsMagnetic Resonance ImagingAccelerationAdultFemaleFemoral ArteryHealthy VolunteersHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSoftwareIterative image reconstructionPhase-contrast flow imagingRegularizationScan acceleration

Identifiers

PMID31805336
PMCPMC7035982

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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.