Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI reconstructed with spatio-temporal low-rank decomposition | Zendy

Wendy Harris | Zendy; F Yin | Zendy; Jing Cai | Zendy; Lei Ren | Zendy

Open Access

Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI reconstructed with spatio-temporal low-rank decomposition

Author(s) -

Wendy Harris,

F Yin,

Jing Cai,

Lei Ren

Publication year - 2020

Publication title -

quantitative imaging in medicine and surgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.766

H-Index - 21

eISSN - 2223-4292

pISSN - 2223-4306

DOI - 10.21037/qims.2019.12.10

Subject(s) - magnetic resonance imaging , real time mri , computer science , computer vision , artificial intelligence , nuclear magnetic resonance , motion (physics) , physics , medicine , radiology

The purpose of this study is to improve on-board volumetric cine magnetic resonance imaging (VC-MRI) using multi-slice undersampled cine images reconstructed using spatio-temporal k-space data, patient prior 4D-MRI, motion modeling (MM) and free-form deformation (FD) for real-time 3D target verification of liver and lung radiotherapy.

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