Evidence map›Paper›PMID 38726884›Full record

ArticleMagnetic resonance in medicine2024

Alternating low-rank tensor reconstruction for improved multiparametric mapping with cardiovascular MR Multitasking.

Tianle Cao, Zheyuan Hu, Xianglun Mao, Zihao Chen, Alan C Kwan, Yibin Xie, Daniel S Berman, Debiao Li, Anthony G Christodoulou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Simultaneous free-breathing T1, T2, and T1ρ mapping for myocardial fibrosis detection in non-ischemic cardiomyopathy: A comparative study with conventional techniques.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    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

9 authors.

Tianle CaoBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0003-3739-3103
Zheyuan HuBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0002-0276-8254
Xianglun MaoBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0002-2745-7444
Zihao ChenBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Alan C KwanBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Yibin XieBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Daniel S BermanDepartments of Imaging and Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Anthony G ChristodoulouBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0002-9334-8684

Funding

Multi-Center Implementation and Validation of Efficient Magnetic Resonance Imaging and Analysis of Atherosclerotic Disease of the Cervical CarotidR01HL159200 · NHLBI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ALTBACH, MARIA I., DESHPANDE, VIBHAS · 2021 to 2025
$6.1M
Motion-Resolved, Comprehensive Quantitative Tissue Characterization Using MR MultitaskingR01EB028146 · NIBIB · CEDARS-SINAI MEDICAL CENTER · PI CHRISTODOULOU, ANTHONY G, LI, DEBIAO · 2019 to 2022
$2.5M
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
American Heart Association-American Stroke Association 23CDA1053659NHLBI NIH HHS R01 HL156818NHLBI NIH HHS R01 HL159200NIBIB NIH HHS R01 EB028146NIH HHS R01EB028146NIH HHS R01HL156818
6 · The paper itself

Abstract

purposeTo develop a novel low-rank tensor reconstruction approach leveraging the complete acquired data set to improve precision and repeatability of multiparametric mapping within the cardiovascular MR Multitasking framework.

methodsA novel approach that alternated between estimation of temporal components and spatial components using the entire data set acquired (i.e., including navigator data and imaging data) was developed to improve reconstruction. The precision and repeatability of the proposed approach were evaluated on numerical simulations, 10 healthy subjects, and 10 cardiomyopathy patients at multiple scan times for 2D myocardial T

resultsIn numerical simulations, the proposed approach outperformed the previous fixed-basis approach with lower T

conclusionThe proposed approach improved precision and repeatability for quantitative imaging with MR Multitasking while maintaining comparable motion fidelity, T

Indexed as

AlgorithmsAdultCardiomyopathiesFemaleHeartHumansImage EnhancementImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMaleMiddle AgedMultiparametric Magnetic Resonance ImagingReproducibility of ResultsSensitivity and Specificitycardiac MRIlow‐rank tensorMR Multitaskingmultidimensional MRImultiparametric mapping

Identifiers

PMID38726884
PMCPMC11262969

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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.