Evidence map›Paper›PMID 40785369›Full record

ArticleMagnetic resonance in medicine2025

Myocardial Arterial Spin Labeling with Double Inversion Recovery for reduced physiological noise.

Maša Božić-Iven, Stanislas Rapacchi, Yi Zhang, Qian Tao, Lothar Rudi Schad, Sebastian Weingärtner

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Highlights of the Society for Cardiovascular Magnetic Resonance 2025 conference: Leading the way to accessible, efficient, and sustainable cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    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

6 authors.

Maša Božić-IvenDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID https://orcid.org/0000-0003-4922-3961
Stanislas RapacchiDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-8925-495X
Yi ZhangDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID https://orcid.org/0000-0003-0523-3877
Qian TaoDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID https://orcid.org/0000-0001-7480-0703
Lothar Rudi SchadComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Sebastian WeingärtnerDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID https://orcid.org/0000-0002-0739-6306

Funding

4TU Precision Medicine program supported by High Tech for a Sustainable FutureEuropean Research Council 101078711Hartstichting 03-004-2022-0079Landesgraduiertenförderung Baden-WürttembergNederlandse Organisatie voor Wetenschappelijk Onderzoek STU.019.024ZonMw 04510011910073
6 · The paper itself

Abstract

purposeTo introduce Double Inversion Recovery (DIR) preparations for myocardial Arterial Spin Labeling (myoASL) for mitigation of heart rate (HR) variability induced physiological noise (PN).

methodsDIR-labeling was implemented for double ECG-gated myoASL-sequences and compared with conventional Flow-sensitive Alternating Inversion Recovery (FAIR) labeling using single inversions. In DIR-preparations, the FAIR-inversion pulses were immediately followed by an identical reinversion pulse, applied either slice-selectively or nonselectively. Bloch-equation-based simulation and phantom experiments were performed to evaluate the PN and SNR across a range of HR variabilities. Data from six healthy subjects were acquired to evaluate myocardial blood flow (MBF), PN, and SNR in vivo.

resultsSimulation experiments showed that the average MBF values remained nearly constant across the range of HR variabilities and were comparable across all three sequences. However, DIR-labeling allowed for greater recovery of the myocardial background signal, which mitigates the sensitivity to HR-dependent changes in the inversion time. Consequently, PN in the presence of HR variability was substantially reduced with DIR-labeling. For HR variabilities corresponding to the mean value observed in vivo, this resulted in a simulated SNR gain of 1.79

conclusionThe proposed DIR-preparations reduce sensitivity to HR variations and alleviate PN in double ECG-gated myoASL, improving the precision of myoASL-based perfusion quantification.

Indexed as

HeartImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultAlgorithmsComputer SimulationCoronary CirculationElectrocardiographyFemaleHeart RateHumansMalePhantoms, ImagingSignal-To-Noise RatioSpin LabelsSpin Labelscardiac magnetic resonance imagingdouble inversion recoveryflow‐sensitive alternating inversion recoverymyocardial arterial spin labelingmyocardial blood flow

Identifiers

PMID40785369
PMCPMC12501712

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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.