mlsanityData to 14 Oct 2026

Dual-Domain Multi-Contrast MRI Reconstruction with Synthesis-based Fusion Network

arXiv 2312.00661 ↗First posted 1 Dec 2023eess.IV cs.CVcited by 0

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Abstract (arXiv)

Purpose: To develop an efficient dual-domain reconstruction framework for multi-contrast MRI, with the focus on minimising cross-contrast misalignment in both the image and the frequency domains to enhance optimisation. Theory and Methods: Our proposed framework, based on deep learning, facilitates the optimisation for under-sampled target contrast using fully-sampled reference contrast that is quicker to acquire. The method consists of three key steps: 1) Learning to synthesise data resembling the target contrast from the reference contrast; 2) Registering the multi-contrast data to reduce inter-scan motion; and 3) Utilising the registered data for reconstructing the target contrast. These steps involve learning in both domains with regularisation applied to ensure their consistency. We also compare the reconstruction performance with existing deep learning-based methods using a dataset of brain MRI scans. Results: Extensive experiments demonstrate the superiority of our proposed framework, for up to an 8-fold acceleration rate, compared to state-of-the-art algorithms. Comprehensive analysis and ablation studies further present the effectiveness of the proposed components. Conclusion:Our dual-domain framework offers a promising approach to multi-contrast MRI reconstruction. It can also be integrated with existing methods to further enhance the reconstruction.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 42 references that are in the map. First posted on arXiv 1 Dec 2023.

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References · 17

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  11. 2023Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstructioncited by 13
  12. 2019Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstructioncited by 12
5 more
  1. 2015Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstructioncited by 10
  2. 2021DONet: Dual-Octave Network for Fast MR Image Reconstructioncited by 9
  3. 2022Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRIcited by 8
  4. 2022JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRIcited by 3
  5. 2020Multi-modality imaging with structure-promoting regulariserscited by 2

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