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Comparison of two retrospective tracking techniques in presence of fast and slow motion.

Author:Elisa Marchetto  Kevin Murphy  Daniel Gallichan  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 15: Data Acquisition & Artifacts  

Session Name:Motion & Artifacts I  

Program Number:0861  

Room Session:Exhibition Hall:S8 & S9  

Institution:Cardiff University  

Deep Learning-Based Respiratory Motion Correction in Free-Breathing Abdominal Diffusion-Weighted Imaging

MoDGAN: Unsupervised rigid motion detection and correction with generative adversarial networks

Author:Mu-Yul Park  Seul Lee  Kyu-Jin Jung  Jisu Yun  Dong-Hyun Kim  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 15: Data Acquisition & Artifacts  

Session Name:Motion & Artifacts I  

Program Number:0863  

Room Session:Exhibition Hall:S8 & S9  

Institution:Yonsei University  

On the limits of model-based reconstruction for retrospective motion correction in the presence of spin history effects

Pilot Tone meets DISORDER: Improved data-driven motion-corrected brain MRI by leveraging Pilot Tone signal variations

Prospective 3D FatNav motion correction for 7T Terra

Real time visual feedback for reproducible head motion

Real-time Motion Compensated ?B0 Shimming with an AC/DC Shim Coil and Dual-Echo vNavs

Unsupervised Deep Learning using modified Cycle Generative Adversarial Network for rigid motion correction in pediatric brain MRI