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Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural

Xin Shen1, Jie Feng1, Zhenghao Li1

  • 1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200241, China.

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Summary

This study introduces IMJ-PLUS, an unsupervised deep learning method for faster dynamic MRI scans. It improves image quality in free-breathing scans by dynamically adapting to motion, achieving significant improvements even with extreme undersampling.

Keywords:
Dynamic MR imagingFree-breathingImplicit neural representationLow-rank plus sparsity

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Biophysics

Background:

  • Dynamic MRI faces resolution trade-offs due to slow acquisition and motion artifacts.
  • Current deep learning methods require fully-sampled data and struggle with diverse conditions and motion-induced sensitivity variations.

Purpose of the Study:

  • To develop an unsupervised learning method for dynamic MRI reconstruction that overcomes limitations of supervised methods.
  • To enhance spatiotemporal resolution and image quality in free-breathing dynamic MRI.

Main Methods:

  • Proposed IMJ-PLUS, an unsupervised method using implicit neural representation (INR).
  • Modeled image sequences as continuous spatiotemporal functions, decomposing into background and dynamic components with low-rankness plus sparsity (L+S) regularization.
  • Dynamically estimated time-varying coil sensitivity maps using continuous functions for motion adaptation.

Main Results:

  • IMJ-PLUS outperformed state-of-the-art methods in unsupervised dynamic MRI reconstruction.
  • Achieved significant peak signal-to-noise ratio improvements (1.2–7.7 dB) under extreme undersampling (up to 49.2x acceleration).
  • Demonstrated effectiveness in free-breathing dynamic MRI with high image quality.

Conclusions:

  • IMJ-PLUS offers a powerful unsupervised approach for accelerated dynamic MRI.
  • The method effectively handles motion and improves image quality, particularly in challenging free-breathing scenarios.
  • IMJ-PLUS has the potential to significantly advance dynamic MRI acquisition speed and quality.