Evidence map›Paper›PMID 38534485›Full record

ArticleBioengineering (Basel, Switzerland)2024

Reliable Off-Resonance Correction in High-Field Cardiac MRI Using Autonomous Cardiac B

Xinqi Li, Yuheng Huang, Archana Malagi, Chia-Chi Yang, Ghazal Yoosefian, Li-Ting Huang, Eric Tang, Chang Gao, Fei Han, Xiaoming Bi and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 6 institutions in 2 countries.

Xinqi LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0009-0002-4799-8333
Yuheng HuangKrannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0009-0000-2890-2442
Archana MalagiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0002-2332-170X
Chia-Chi YangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Ghazal YoosefianKrannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Li-Ting HuangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Eric TangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Chang GaoMR R&D Collaborations, Siemens Medical Solutions Inc., Los Angeles, CA 90048, USA.ORCID 0000-0002-5976-0667
Fei HanMR R&D Collaborations, Siemens Medical Solutions Inc., Los Angeles, CA 90048, USA.
Xiaoming BiMR R&D Collaborations, Siemens Medical Solutions Inc., Los Angeles, CA 90048, USA.
Min-Chi KuBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany.
Hsin-Jung YangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Hui HanDepartment of Radiology, Weill Medical College of Cornell University, New York, NY 10065, USA.ORCID 0000-0003-4440-4421
Cedars-Sinai Medical Center · USSiemens Healthcare (United States) · USCornell University · USIndiana University School of MedicineMax Delbrück Center · DEUniversity of California, Los Angeles · US

Funding

Push-Button Cardiac MRI for Non-Invasive Quantification of Myocardial Energy Consumption in Heart FailureR01HL165211 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Hsin-Jung Yang · 2022 to 2026
$3.9M
SSFP Cardiovascular MR Imaging on 3.0T Using Unified-Coil Local ShimmingR01HL156818 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SPINCEMAILLE, PASCAL, YANG, HSIN-JUNG · 2021 to 2024
$2.5M
Unified Shim-RF Coil Technology for Improved Whole-Brain Spectroscopic MRI for Neurological DisordersR01NS121544 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI DOUGLAS J BALLON, Jonathan Paul Dyke · 2021 to 2026
$2.3M
NHLBI NIH HHS R01 HL156818NHLBI NIH HHS R01 HL165211NIH HHS 1R01 HL165211NIH HHS R01 HL156818NIH HHS R01 NS121544NINDS NIH HHS R01 NS121544
6 · The paper itself

Abstract

B0 field inhomogeneity is a long-lasting issue for Cardiac MRI (CMR) in high-field (3T and above) scanners. The inhomogeneous B0 fields can lead to corrupted image quality, prolonged scan time, and false diagnosis. B0 shimming is the most straightforward way to improve the B0 homogeneity. However, today's standard cardiac shimming protocol requires manual selection of a shim volume, which often falsely includes regions with large B0 deviation (e.g., liver, fat, and chest wall). The flawed shim field compromises the reliability of high-field CMR protocols, which significantly reduces the scan efficiency and hinders its wider clinical adoption. This study aims to develop a dual-channel deep learning model that can reliably contour the cardiac region for B0 shim without human interaction and under variable imaging protocols. By utilizing both the magnitude and phase information, the model achieved a high segmentation accuracy in the B0 field maps compared to the conventional single-channel methods (Dice score: 2D-mag = 0.866, 3D-mag = 0.907, and 3D-mag-phase = 0.938, all

Indexed as

B0 field mapB0 shimcardiac MRIdual modality image segmentation

Identifiers

PMID38534485
PMCPMC10968050
OpenAlexW4392095780

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.