Learning-based Optimization of the Under-sampling Pattern in MRI

7 January 2019

Papers citing "Learning-based Optimization of the Under-sampling Pattern in MRI"

43 / 43 papers shown

Title
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI George Yiasemis J. Sonke Jonas Teuwen 78 0 0 27 Nov 2024
Optimal OnTheFly Feedback Control of Event Sensors V. Vishnevskiy Greg Burman Sebastian Kozerke Diederik Paul Moeys 45 1 0 23 Aug 2024
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging H. Aggarwal Sudhanya Chatterjee D. Shanbhag Uday Patil K.V.S. Hari 42 0 0 08 Aug 2024
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction Chen-Yu Yen Raghav Singhal Umang Sharma Rajesh Ranganath S. Chopra Lerrel Pinto 34 1 0 06 Jun 2024
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI George Yiasemis J. Sonke Jonas Teuwen 33 2 0 15 Mar 2024
Probabilistic Bayesian optimal experimental design using conditional normalizing flows Rafael Orozco Felix J. Herrmann Peng Chen 49 5 0 28 Feb 2024
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models Sriram Ravula Brett Levac A. Jalal Jonathan I. Tamir A. Dimakis DiffM MedIm 29 16 0 05 Jun 2023
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction Tobias Weber Michael Ingrisch Bernd Bischl David Rügamer 32 2 0 25 May 2023
Learning Task-Specific Strategies for Accelerated MRI Zihui Wu Tianwei Yin Yu Sun R. Frost A. Kouwe Adrian Dalca Katherine Bouman 41 4 0 25 Apr 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 36 5 0 27 Jan 2023
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement Learning Pu Yang Bin Dong OffRL AI4TS 18 0 0 05 Dec 2022
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping Jinwei Zhang P. Spincemaille Hang Zhang Thanh D. Nguyen Chao Li Jiahao Nick Li I. Kovanlikaya M. Sabuncu Yi Wang 26 9 0 01 Nov 2022
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI Lin Zhao Xiao Chen Eric Z. Chen Yikang Liu Dinggang Shen Terrence Chen Shanhui Sun 35 6 0 22 Oct 2022
A Path Towards Clinical Adaptation of Accelerated MRI Michael S. Yao M. Hansen MedIm 44 1 0 26 Aug 2022
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI Jingfen Xie Jian Zhang Yongbing Zhang Xiangyang Ji 30 28 0 24 Apr 2022
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction Timothy C. Bakker Matthew Muckley Adriana Romero Soriano M. Drozdzal Luis Villaseñor-Pineda 20 18 0 30 Mar 2022
FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation O. Jaubert Javier Montalt-Tordera James T Brown D. Knight Simon Arridge J. Steeden V. Muthurangu 21 4 0 25 Mar 2022
Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework Yiming Liu Yanwei Pang Ruiqi Jin Zhenchang Wang MedIm 21 2 0 11 Mar 2022
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery Jonathan Sauder Martin Genzel P. Jung 24 1 0 07 Feb 2022
Benchmarking learned non-Cartesian k-space trajectories and reconstruction networks Chaithya G R P. Ciuciu 17 0 0 27 Jan 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio T. Leiner Pier Luigi Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 30 87 0 23 Dec 2021
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI Junwei Yang Xiao-Xin Li Feihong Liu Dong Nie Pietro Lio H. Qi Dinggang Shen 20 4 0 11 Nov 2021
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications M. Zibetti Florian Knoll R. Regatte 30 17 0 27 Oct 2021
A review and experimental evaluation of deep learning methods for MRI reconstruction Arghya Pal Yogesh Rathi 3DV 52 41 0 17 Sep 2021
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks A. Razumov Oleg Y. Rogov Dmitry V. Dylov 38 9 0 10 Aug 2021
Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging R. ChaithyaG. P. Weiss Guillaume Daval-Frérot Aurélien Massire A. Vignaud P. Ciuciu 24 8 0 06 Aug 2021
One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline Zhiwen Wang Wenjun Xia Zexin Lu Yongqiang Huang Yong-Jin Liu Hu Chen Jiliu Zhou Yi Zhang MedIm 18 5 0 14 May 2021
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian Dalca Yisong Yue Katherine Bouman 16 19 0 13 May 2021
Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network Chao Li Hang Zhang Jinwei Zhang P. Spincemaille Thanh D. Nguyen Yi Wang MedIm 6 1 0 04 May 2021
Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI Xinwen Liu Jing Wang Fangfang Tang Shekhar S. Chandra Feng Liu Stuart Crozier 25 5 0 31 Mar 2021
ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data S. Chatterjee Mario Breitkopf Chompunuch Sarasaen Hadya Yassin G. Rose A. Nürnberger Oliver Speck 14 27 0 16 Mar 2021
Active Sampling for Accelerated MRI with Low-Rank Tensors Zichang He Bo Zhao Zheng-Wei Zhang MedIm 25 5 0 23 Dec 2020
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems M. Zibetti G. Herman R. Regatte 21 5 0 04 Nov 2020
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 27 56 0 30 Oct 2020
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking Burhaneddin Yaman S. A. Hosseini S. Moeller Mehmet Akçakaya AI4CE 27 4 0 26 Oct 2020
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI Jonathan Alush-Aben Linor Ackerman-Schraier Tomer Weiss S. Vedula Ortal Senouf A. Bronstein MedIm 6 15 0 11 Aug 2020
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI Jinwei Zhang Hang Zhang Alan Q. Wang Qihao Zhang M. Sabuncu P. Spincemaille Thanh D. Nguyen Yi Wang 25 34 0 28 Jul 2020
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI Iris A. M. Huijben Bastiaan S. Veeling Ruud J. G. van Sloun 14 33 0 22 Apr 2020
1D Probabilistic Undersampling Pattern Optimization for MR Image Reconstruction Shengke Xue Ruiliang Bai Xinyu Jin 16 0 0 08 Mar 2020
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI Tomer Weiss Ortal Senouf S. Vedula O. Michailovich M. Zibulevsky A. Bronstein MedIm 18 78 0 12 Sep 2019
Deep-learning-based Optimization of the Under-sampling Pattern in MRI C. D. Bahadir Alan Q. Wang Adrian Dalca M. Sabuncu 30 9 0 26 Jul 2019
Joint learning of cartesian undersampling and reconstruction for accelerated MRI Tomer Weiss S. Vedula Ortal Senouf O. Michailovich M. Zibulevsky A. Bronstein 13 25 0 22 May 2019
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI Thomas Sanchez Baran Gözcü R. Heeswijk Armin Eftekhari E. Ilıcak Tolga Çukur V. Cevher 19 29 0 01 Feb 2019