ArticleMagnetic resonance in medicine2021
RUN-UP: Accelerated multishot diffusion-weighted MRI reconstruction using an unrolled network with U-Net as priors.
Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 43 citations in OpenAlex.
- Improved diffusion tensor parametric maps in the brain from reduced-direction acquisitions using a deep learning approach.Magma (New York, N.Y.) · 2026Article
- Navigator-free multi-shot diffusion MRI via non-local low-rank reconstruction.Magnetic resonance in medicine · 2025Article
- Fast and ultra-high shot diffusion MRI image reconstruction with self-adaptive Hankel subspace.Medical image analysis · 2025Article
- 3D distortion-free, reduced FOV diffusion-prepared gradient echo at 3 T.Magnetic resonance in medicine · 2025Article
- Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration.ArXiv · 2025Article
- Blip-up blip-down circular EPI (BUDA-cEPI) for distortion-free dMRI with rapid unrolled deep learning reconstruction.Magnetic resonance imaging · 2025Article
- Fast MRI Reconstruction Using Deep Learning-based Compressed Sensing: A Systematic Review.ArXiv · 2024Article
- Improved reconstruction for highly accelerated propeller diffusion 1.5 T clinical MRI.Magma (New York, N.Y.) · 2024Article
- High-fidelity mesoscale in-vivo diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction.NeuroImage · 2023Article
- Motion-robust, blood-suppressed, reduced-distortion diffusion MRI of the liver.Magnetic resonance in medicine · 2023Article
- Accelerated Diffusion-Weighted MR Image Reconstruction Using Deep Neural Networks.Journal of digital imaging · 2023Article
- Multi-channel GAN-based calibration-free diffusion-weighted liver imaging with simultaneous coil sensitivity estimation and reconstruction.Frontiers in oncology · 2023Article
- Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022Article
- Analysis of deep complex-valued convolutional neural networks for MRI reconstruction and phase-focused applications.Magnetic resonance in medicine · 2021Article
- qModeL: A plug-and-play model-based reconstruction for highly accelerated multi-shot diffusion MRI using learned priors.Magnetic resonance in medicine · 2021Article
- Improved cortical surface reconstruction using sub-millimeter resolution MPRAGE by image denoising.NeuroImage · 2021Article
- Multishot Diffusion-Weighted MRI of the Breast With Multiplexed Sensitivity Encoding (MUSE) and Shot Locally Low-Rank (Shot-LLR) Reconstructions.Journal of magnetic resonance imaging : JMRI · 2021Article
- Review and Prospect: Artificial Intelligence in Advanced Medical Imaging.Frontiers in radiology · 2021Review
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
purposeTo accelerate and improve multishot diffusion-weighted MRI reconstruction using deep learning.
methodsAn unrolled pipeline containing recurrences of model-based gradient updates and neural networks was introduced for accelerating multishot DWI reconstruction with shot-to-shot phase correction. The network was trained to predict results of jointly reconstructed multidirection data using single-direction data as input. In vivo brain and breast experiments were performed for evaluation.
resultsThe proposed method achieves a reconstruction time of 0.1 second per image, over 100-fold faster than a shot locally low-rank reconstruction. The resultant image quality is comparable to the target from the joint reconstruction with a peak signal-to-noise ratio of 35.3 dB, a normalized root-mean-square error of 0.0177, and a structural similarity index of 0.944. The proposed method also improves upon the locally low-rank reconstruction (2.9 dB higher peak signal-to-noise ratio, 29% lower normalized root-mean-square error, and 0.037 higher structural similarity index). With training data from the brain, this method also generalizes well to breast diffusion-weighted imaging, and fine-tuning further reduces aliasing artifacts.
conclusionA proposed data-driven approach enables almost real-time reconstruction with improved image quality, which improves the feasibility of multishot DWI in a wide range of clinical and neuroscientific studies.
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