ArticleMagnetic resonance in medicine2020
MRSIGMA: Magnetic Resonance SIGnature MAtching for real-time volumetric imaging.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Article
- Deep learning-based estimation of respiration-induced deformation from surface motion: A proof-of-concept study on 4D thoracic image synthesis.Medical physics · 2025Article
- Online Radiotherapy: The Paradigm Shift to Real-Time Adaptive Radiotherapy.Deutsches Arzteblatt international · 2025Review
- MR signature matching (MRSIGMA) implementation for true real-time free-breathing volumetric imaging with sub-200 ms latency on an MR-Linac.Magnetic resonance in medicine · 2024Article
- A systematic review of 4D magnetic resonance imaging techniques for abdominal radiotherapy treatment planning.Physics and imaging in radiation oncology · 2024Review
- Volumetric MRI with sparse sampling for MR-guided 3D motion tracking via sparse prior-augmented implicit neural representation learning.Medical physics · 2024Article
- Movienet: Deep space-time-coil reconstruction network without k-space data consistency for fast motion-resolved 4D MRI.Magnetic resonance in medicine · 2024Article
- Review
- Real-time 4D MRI using MR signature matching (MRSIGMA) on a 1.5T MR-Linac system.Physics in medicine and biology · 2023Article
- Live-view 4D GRASP MRI: A framework for robust real-time respiratory motion tracking with a sub-second imaging latency.Magnetic resonance in medicine · 2023Article
- Accelerating 4D image reconstruction for magnetic resonance-guided radiotherapy.Physics and imaging in radiation oncology · 2023Article
- 4D Golden-Angle Radial MRI at Subsecond Temporal Resolution.NMR in biomedicine · 2023Article
- 4D lung MRI with high-isotropic-resolution using half-spoke (UTE) and full-spoke 3D radial acquisition and temporal compressed sensing reconstruction.Physics in medicine and biology · 2023Article
- Real time volumetric MRI for 3D motion tracking via geometry-informed deep learning.Medical physics · 2022Article
- Single projection driven real-time multi-contrast (SPIDERM) MR imaging using pre-learned spatial subspace and linear transformation.Physics in medicine and biology · 2022Article
- A narrative review of MRI acquisition for MR-guided-radiotherapy in prostate cancer.Quantitative imaging in medicine and surgery · 2022Review
- MR SIGnature MAtching (MRSIGMA) with retrospective self-evaluation for real-time volumetric motion imaging.Physics in medicine and biology · 2021Article
- Volumetric prediction of breathing and slow drifting motion in the abdomen using radial MRI and multi-temporal resolution modeling.Physics in medicine and biology · 2021Article
- Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease.Diagnostics (Basel, Switzerland) · 2021Article
- Rapid 4D-MRI reconstruction using a deep radial convolutional neural network: Dracula.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purposeTo propose a real-time 3D MRI technique called MR SIGnature MAtching (MRSIGMA) for high-resolution volumetric imaging and motion tracking with very low imaging latency.
methodsMRSIGMA consists of two steps: (1) offline learning of a database of possible 3D motion states and corresponding motion signature ranges and (2) online matching of new motion signatures acquired in real time with prelearned motion states. Specifically, the offline learning step (non-real-time) reconstructs motion-resolved 4D images representing different motion states and assigns a unique motion range to each state. The online matching step (real-time) acquires motion signatures only and selects one of the prelearned 3D motion states for each newly acquired signature, which generates 3D images efficiently in real time. The MRSIGMA technique was evaluated on 15 golden-angle stack-of-stars liver data sets, and the performance of respiratory motion tracking with the online-generated real-time 3D MRI was compared with the corresponding 2D projections acquired in real time.
resultsThe total latency of generating each 3D image during online matching was about 300 ms, including acquisition of the motion signature data (~138 ms) and corresponding matching process (~150 ms). Linear correlation assessment suggested excellent correlation (R
conclusionThis proof-of-concept study demonstrates the feasibility of MRSIGMA for high-resolution real-time volumetric imaging, which shifts the acquisition and reconstruction burden to an offline learning step and leaves fast online matching for online imaging with very low imaging latency. The MRSIGMA technique can potentially be used for real-time motion tracking in MRI-guided radiation therapy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.