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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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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Highly accelerated whole-brain T2 mapping using non-cartesian acquisition and model-based implicit neural

Tianyi Xiao1, Bei Liu1, Huajun She2

  • 1National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

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|November 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel technique for rapid whole-brain T2 mapping, achieving a 20-fold acceleration. The method enables accurate T2 quantification in just 70 seconds, significantly improving scan efficiency.

Keywords:
Implicit neural representationQuantitative magnetic resonance imagingStack-of-starsT(2) mappingUnsupervised deep learning

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Area of Science:

  • Magnetic Resonance Imaging
  • Quantitative Imaging
  • Neuroimaging

Background:

  • T2 mapping is crucial for characterizing tissue properties in MRI.
  • Accelerating T2 mapping acquisition is essential for clinical feasibility and reducing motion artifacts.

Purpose of the Study:

  • To develop and validate a highly accelerated technique for whole-brain T2 mapping.
  • To enable rapid and accurate quantification of T2 values in the brain.

Main Methods:

  • Utilized a T2 preparation pulse sequence with a golden-angle stack-of-stars trajectory for data acquisition.
  • Employed a multiresolution hash encoding implicit neural representation for unsupervised reconstruction.
  • Applied 3D undersampling across kx, ky, and effective echo times (TEeff) for accelerated data acquisition.

Main Results:

  • Phantom experiments showed excellent agreement (R² > 0.99) between proposed reconstruction and fully sampled data.
  • Human experiments demonstrated high accuracy (NRMSE = 0.0066) with 20-fold acceleration compared to fully sampled data.
  • Prospective experiments confirmed no significant difference in T2 values compared to reference methods, with good reproducibility.

Conclusions:

  • The proposed technique enables whole-brain T2 mapping in 70 seconds with 20-fold acceleration.
  • This advancement significantly enhances the efficiency of quantitative MRI of the brain.