Evidence map›Paper›PMID 36646397›Full record

ArticleMagnetic resonance imaging2023

High-resolution, respiratory-resolved coronary MRA using a Phyllotaxis-reordered variable-density 3D cones trajectory.

Srivathsan P Koundinyan, Corey A Baron, Mario O Malavé, Frank Ong, Nii Okai Addy, Joseph Y Cheng, Phillip C Yang, Bob S Hu, Dwight G Nishimura

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In one paragraph

Article in Magnetic resonance imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Srivathsan P KoundinyanElectrical Engineering, Stanford University, Stanford, CA, United States.
Corey A BaronMedical Biophysics, Western University, London, Ontario, Canada.
Mario O MalavéElectrical Engineering, Stanford University, Stanford, CA, United States.
Frank OngElectrical Engineering, Stanford University, Stanford, CA, United States.
Nii Okai AddyElectrical Engineering, Stanford University, Stanford, CA, United States.
Joseph Y ChengElectrical Engineering, Stanford University, Stanford, CA, United States; Radiology, Stanford University, Stanford, CA, United States.
Phillip C YangCardiovascular Medicine, Stanford University, Stanford, CA, United States.
Bob S HuElectrical Engineering, Stanford University, Stanford, CA, United States; Cardiology, Palo Alto Medical Foundation, Palo Alto, CA, United States.
Dwight G NishimuraElectrical Engineering, Stanford University, Stanford, CA, United States. Electronic address: dwight@stanford.edu.

Funding

Coronary Magnetic Resonance AngiographyR01HL127039 · NHLBI · STANFORD UNIVERSITY · PI NISHIMURA, DWIGHT · 2015 to 2023
$3.0M
TRAINING IN CARDIAC MAGNETIC RESONANCE IMAGING (REVISED)T32HL007846 · NHLBI · STANFORD UNIVERSITY · PI NISHIMURA, DWIGHT · 1997 to 2016
$1.3M
NHLBI NIH HHS R01 HL127039NHLBI NIH HHS T32 HL007846
6 · The paper itself

Abstract

purposeTo develop a respiratory-resolved motion-compensation method for free-breathing, high-resolution coronary magnetic resonance angiography (CMRA) using a 3D cones trajectory.

methodsTo achieve respiratory-resolved 0.98 mm resolution images in a clinically relevant scan time, we undersample the imaging data with a variable-density 3D cones trajectory. For retrospective motion compensation, translational estimates from 3D image-based navigators (3D iNAVs) are used to bin the imaging data into four phases from end-expiration to end-inspiration. To ensure pseudo-random undersampling within each respiratory phase, we devise a phyllotaxis readout ordering scheme mindful of eddy current artifacts in steady state free precession imaging. Following binning, residual 3D translational motion within each phase is computed using the 3D iNAVs and corrected for in the imaging data. The noise-like aliasing characteristic of the combined phyllotaxis and cones sampling pattern is leveraged in a compressed sensing reconstruction with spatial and temporal regularization to reduce aliasing in each of the respiratory phases.

resultsIn initial studies of six subjects, respiratory motion compensation using the proposed method yields improved image quality compared to non-respiratory-resolved approaches with no motion correction and with 3D translational correction. Qualitative assessment by two cardiologists and quantitative evaluation with the image edge profile acutance metric indicate the superior sharpness of coronary segments reconstructed with the proposed method (P < 0.01).

conclusionWe have demonstrated a new method for free-breathing, high-resolution CMRA based on a variable-density 3D cones trajectory with modified phyllotaxis ordering and respiratory-resolved motion compensation with 3D iNAVs.

Indexed as

HeartMagnetic Resonance AngiographyArtifactsCoronary AngiographyHumansImaging, Three-DimensionalReproducibility of ResultsRetrospective Studies3D conesCoronary angiographyPhyllotaxisRespiratory resolvedRetrospective motion correction

Identifiers

PMID36646397
PMCPMC9991864

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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.