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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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  1. Home
  3. Direct Cardiac T1 Mapping With Subspace Modeling And Free-breathing Data Acquisition.
  1. Home
  3. Direct Cardiac T1 Mapping With Subspace Modeling And Free-breathing Data Acquisition.

Related Experiment Video

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Direct Cardiac T1 Mapping with Subspace Modeling and Free-breathing Data Acquisition.

Thibault Marin, Paul K Han, Dimitri Szezurek

    IEEE Transactions on Bio-Medical Engineering
    |May 25, 2026

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    This study introduces a new method for cardiac T1 mapping using magnetic resonance imaging (MRI) that does not require breath-holding. This direct T1 estimation technique improves accuracy for free-breathing cardiac assessments.

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    Area of Science:

    • Cardiovascular Imaging
    • Medical Physics
    • Biomedical Engineering

    Background:

    • Cardiac T1 mapping is crucial for assessing cardiomyopathies using MRI.
    • Conventional MRI T1 mapping requires breath-holding, posing challenges for some patients.
    • Developing free-breathing techniques is essential for broader clinical applicability.

    Purpose of the Study:

    • To present a novel T1 estimation framework for cardiac T1 mapping using free-breathing data acquisition.
    • To enable direct T1 estimation from undersampled k,t-space data.
    • To improve the accuracy and feasibility of cardiac T1 mapping.

    Main Methods:

    • Utilized a free-breathing, ECG-gated, inversion-recovery fast low-angle shot (FLASH) sequence for sparse (k,t)-space data acquisition.
  • Incorporated a T1 relaxation model into a direct reconstruction framework for end-to-end T1 mapping.
  • Employed the alternating direction method of multipliers (ADMM) algorithm to solve the image reconstruction problem, including subproblems for low-rank constraint, parametric fitting, and TV-based denoising.

    • Main Results:

    • The proposed direct T1 estimation method demonstrated reduced bias and variance compared to indirect approaches in simulations and in-vivo experiments.
    • Numerical simulations and in-vivo experiments validated the performance of the direct approach.
    • The direct method showed significant benefits in T1 estimation accuracy.

    Conclusions:

    • Direct cardiac T1 mapping with subspace modeling enables accurate free-breathing acquisition.
    • The framework integrates MR physics knowledge and subspace modeling for enhanced cardiac T1 mapping.
    • This approach holds potential for improved quantitative assessment of cardiomyopathies.