ArticleMagnetic resonance in medicine2016
In vivo diffusion-tensor MRI of the human heart on a 3 tesla clinical scanner: An optimized second order (M2) motion compensated diffusion-preparation approach.
Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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43 citing papers in PubMed, 60 citations in OpenAlex.
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- The functional impact of myofiber macroscopic organization and disarray in computational models of the murine heart.PLoS computational biology · 2026Article
- Voxel-scale diffusion tensor phenomapping of the healthy and pressure-overloaded human heart.Nature biomedical engineering · 2026Article
- Translating Mechanistic Insights Into Action and Revealing New Pathways: Machine Learning Approaches in Heart Failure With Preserved Ejection Fraction.Journal of the American Heart Association · 2026Review
- Diffusion Tensor MRI of the Heart: The Toolbox Continues to Grow.Circulation. Cardiovascular imaging · 2026Article
- Comparison of cardiac diffusion MRI using multiple prospective respiratory motion correction techniques.Magnetic resonance in medicine · 2026Article
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- Toward optimal inline respiratory motion correction for in vivo cardiac diffusion tensor MRI using symmetric and inverse-consistent deformable image registration.Magnetic resonance in medicine · 2025Article
- Defining myocardial fiber bundle architecture in atrial digital twins.Computers in biology and medicine · 2025Article
- In vivo cardiac diffusion tensor imaging on an MR system featuring ultrahigh performance gradients with 200 mT/m maximum gradient strength.Magnetic resonance in medicine · 2025Article
- Multi-center investigation of cardiac diffusion tensor imaging in healthy volunteers by the Society of Cardiovascular Magnetic Resonance Cardiac Diffusion Special Interest Group NETwork (SIGNET).Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Observational
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- Cardiac DTI using short-axis PROPELLER: A feasibility study.Magnetic resonance in medicine · 2024Article
- Self-calibrated subspace reconstruction for multidimensional MR fingerprinting for simultaneous relaxation and diffusion quantification.Magnetic resonance in medicine · 2024Article
- Facilitating diffusion tensor imaging of the brain during continuous gross head motion with first and second order motion compensating diffusion gradients.Magnetic resonance in medicine · 2024Article
- High-resolution Diffusion-weighted Imaging to Detect Changes in Tumor Size and ADC, and Predict Adverse Biopsy Histology during Prostate Cancer Active Surveillance.Cancer research communications · 2024Article
- Antagonism of contractile forces in left ventricular hypertrophy: a diagnostic challenge for better pathophysiological and clinical understanding.Open heart · 2023Article
- The comparison of diffusion tensor imaging in human hearts between 1.5 T and 3.0 T.BMC medical imaging · 2023Article
- MR Fingerprinting with b-Tensor Encoding for Simultaneous Quantification of Relaxation and Diffusion in a Single Scan.Magnetic resonance in medicine · 2022Article
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeTo optimize a diffusion-prepared balanced steady-state free precession cardiac MRI (CMR) technique to perform diffusion-tensor CMR (DT-CMR) in humans on a 3 Tesla clinical scanner
methodsA previously developed second order motion compensated (M2) diffusion-preparation scheme was significantly shortened (40%) yielding sufficient signal-to-noise ratio for DT-CMR imaging. In 20 healthy volunteers and 3 heart failure (HF) patients, DT-CMR was performed comparing no motion compensation (M0), first order motion compensation (M1), and the optimized M2. Mean diffusivity (MD), fractional anisotropy (FA), helix angle (HA), and HA transmural slope (HATS) were calculated. Reproducibility and success rate (SR) were investigated.
resultsM2-derived left ventricular (LV) MD, FA, and HATS (1.4 ± 0.2 μm
conclusionThe proposed M2 DT-CMR reproducibly yielded bulk motion robust estimations of mean LV MD, FA, HA, and HATS on a 3T clinical scanner. Magn Reson Med 76:1354-1363, 2016. © 2016 International Society for Magnetic Resonance in Medicine.
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