Correcting motion in multiplanar cardiac magnetic resonance images

• Main Authors: Wan, M, Huang, W, Zhang, J.-M, Zhao, X, Allen, J.C, Tan, R.S, Wan, X, Zhong, L
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: 2020
• Subjects: Alignment; Geometry; Heart; Magnetic resonance imaging; Magnetism; Medical imaging; Motion analysis; Motion control; Resonance; Cardiac magnetic resonance; Cardiac magnetic resonance images; Effective approaches; Iterative closest point algorithm; Motion correction; Myocardial infarction patients; Quantitative assessments; Quantitative validation; Iterative methods; accuracy; adult; aged; algorithm; Article; cardiovascular magnetic resonance; cine magnetic resonance imaging; clinical article; computer system; endocardium; heart infarction; heart left ventricle; human; image display; image processing; image reconstruction; imaging software; imaging system; middle aged; motion; nuclear magnetic resonance scanner; priority journal; quantitative study; radiological procedures; validation study; anatomy and histology; diagnostic imaging; heart; heart ventricle; movement (physiology); nuclear magnetic resonance imaging; physiology; procedures; Aged; Algorithms; Heart Ventricles; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Middle Aged; Movement
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/181349
• Institution: National University of Singapore

10.1186/s12938-016-0216-8