Evidence map›Paper›PMID 38972471›Full record

ArticleMagnetic resonance imaging2024

Quiescent frame, contrast-enhanced coronary magnetic resonance angiography reconstructed using limited number of physiologic frames from 5D free-running acquisitions.

Yitong Yang, Jackson Hair, Jérôme Yerly, Davide Piccini, Lorenzo Di Sopra, Aurelien Bustin, Milan Prsa, Salim Si-Mohamed, Matthias Stuber, John N Oshinski

Abstract read
In one paragraph

Article in Magnetic resonance imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Yitong YangDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Jackson HairDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Jérôme YerlyDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland; Center for Biomedical Imaging, Lausanne, Switzerland.
Davide PicciniDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland; Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland.
Lorenzo Di SopraDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland; Center for Biomedical Imaging, Lausanne, Switzerland.
Aurelien BustinDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland; Center for Biomedical Imaging, Lausanne, Switzerland.
Milan PrsaDepartment of Interventional Cardiology, Lausanne University Hospital, Lausanne, Switzerland.
Salim Si-MohamedDepartment of Radiology, University of Claude Bernard Lyon 1., Lyon, France.
Matthias StuberDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland; Center for Biomedical Imaging, Lausanne, Switzerland.
John N OshinskiDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States; Department of Radiology, Emory University School of Medicine, Atlanta, GA, United States. Electronic address: jnoshin@emory.edu.

Funding

Coronary Fractional Flow Reserve Determined Using MRI and CFDR01EB027774 · NIBIB · EMORY UNIVERSITY · PI OSHINSKI, JOHN N · 2020 to 2025
$1.7M
CBT@EmTech - CardioVascular Biomechanics Training Program at Emory and GaTechT32HL166146 · NHLBI · EMORY UNIVERSITY · PI Lakshmi Prasad Dasi, Hanjoong Jo · 2023 to 2026
$1.3M
Determining the specific hemodynamics related to clot formation and subsequent stroke in subjects with carotid websR21NS142808 · NINDS · EMORY UNIVERSITY · PI Jason William Allen, JOHN N OSHINSKI · 2025 to 2026
$460k
NHLBI NIH HHS T32 HL166146NIBIB NIH HHS R01 EB027774NINDS NIH HHS R21 NS142808
6 · The paper itself

Abstract

background5D, free-running imaging resolves sets of 3D whole-heart images in both cardiac and respiratory dimensions. In an application such as coronary imaging when a single, static image is of interest, computationally expensive offline iterative reconstruction is still needed to compute the multiple 3D datasets. PURPOSE: Evaluate how the number of physiologic bins included in the reconstruction affects the computational cost and resulting image quality of a single, static volume reconstruction. STUDY TYPE: Retrospective. SUBJECTS: 15 pediatric patients following Ferumoxytol infusion (4 mg/kg). FIELD STRENGTH/SEQUENCE: 1.5 T/Ungated 5D free-running GRE sequence. ASSESSMENT: The raw data of each subject were binned and reconstructed into a 5D (x-y-z-cardiac-respiratory) images. 1, 3, 5, 7, and 9 bins adjacent to both sides of the retrospectively determined cardiac resting phase and 1, 3 bins adjacent to the end-expiration phase are used for limited frame reconstructions. The static volume within each limited reconstruction was compared with the corresponding full 5D reconstruction using the structural similarity index measure (SSIM). A non-linear regression model was used to fit SSIM with the percentage of data used compared to full reconstruction (% data). A linear regression model was used to fit computation time with % raw data used. Coronary artery sharpness is measured on each limited reconstructed images to determine the minimal number of cardiac and respiratory bins needed to preserve image quality. STATISTICAL TESTS: The coefficient of determination (R

resultsThe % of data used in the reconstruction was linearly related to the computational time (R DATA

conclusionReconstruction using only a limited number of acquired physiological states can linearly reduce the computational cost while preserving similarity to the full reconstruction image. It is suggested to use no less than 5 cardiac and all respiratory phases in the limited reconstruction to best preserve the original quality seen on the full reconstructed images.

Indexed as

Contrast MediaImaging, Three-DimensionalMagnetic Resonance AngiographyAdolescentAlgorithmsChildChild, PreschoolCoronary VesselsFemaleFerrosoferric OxideHeartHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMaleRetrospective StudiesContrast MediaFerrosoferric Oxide5D whole-heart MRICoronary MRAFree-running

Identifiers

PMID38972471
PMCPMC11390311

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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.