DMMS: Efficient Diffeomorphic Metric Image Registration Via Stationary Velocity
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About The Author

Xianfeng Yang received a Ph.D. degree from the University of Queensland, on the subject of biomedical imaging analysis in 2015. He has been an associate professor at School of Computer Science and Engineering, Nanjing University of Science and Technology since 2017. He had research experience at Queensland Brain Institute, National University of Singapore and Institute of Automation, CAS in the neuroscience field. His research interests include MRI analysis, brain networks, and imaging genetics.

                       

DMMS: Efficient Diffeomorphic Metric Image Registration Via Stationary Velocity

Diffeomorphic image registration is an essential procedure in many MRI analysis tasks, such as atlas building and segmentation, anatomical variability analysis, functional magnetic resonance image (fMRI) analysis, and so on. Diffeomorphism (one-one and smooth mapping) under large deformation can be achieved by temporally integrating smooth vector fields which are usually built as stationary or non-stationary ones. Under non-stationary parameterization, smooth vector fields vary continuously in time, and the solution lies within full diffeomorphism space, which may benefit the mapping of...

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