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End-to-end deep learning nonrigid motion-corrected reconstruction for highly accelerated free-breathing coronary MRA
(2021)
Purpose: To develop an end-to-end deep learning technique for nonrigid motion-corrected (MoCo) reconstruction of ninefold undersampled free-breathing whole-heart coronary MRA (CMRA).
Self-supervised learning-based diffeomorphic non-rigid motion estimation for fast motion-compensated coronary MR angiography
(ELSEVIER SCIENCE INC, 2022)
Purpose: To accelerate non-rigid motion corrected coronary MR angiography (CMRA) reconstruction by developing a deep learning based non-rigid motion estimation network and combining this with an efficient implementation ...
Self-supervised motion-corrected image reconstruction network for 4D magnetic resonance imaging of the body trunk
(Now Publishers Inc, 2022)
Respiratory motion can cause artifacts in magnetic resonance imaging of the body trunk if patients cannot hold their breath or triggered acquisitions are not practical. Retrospective correction strategies usually cope with ...
Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute
(John Wiley and Sons Inc, 2021)
© 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in MedicinePurpose: To develop and evaluate a novel and generalizable ...