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• W2108589375 abstract "This study investigates a new parameterization of deformation fields for image registration. Instead of standard displacements, this parameterization describes a deformation field with its transformation Jacobian and curl of end velocity field. It has two important features which make it appealing to image registration: 1) it relaxes the need of an explicit regularization term and the corresponding ad hoc weight in the cost functional; 2) explicit constraints on transformation Jacobian such as topology preserving and incompressibility constraints are straightforward to impose in a unified framework. In addition, this parameterization naturally describes a deformation field in terms of radial and rotational components, making it especially suited for processing cardiac data. We formulate diffeomorphic image registration as a constrained optimization problem which we solve with a step-then-correct strategy. The effectiveness of the algorithm is demonstrated with several examples and a comprehensive evaluation of myocardial delineation over 120 short-axis cardiac cine MRIs acquired from 20 subjects. It shows competitive performance in comparison to two recent segmentation based approaches." @default.
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• W2108589375 date "2010-01-01" @default.
• W2108589375 modified "2023-09-27" @default.
• W2108589375 title "A Parameterization of Deformation Fields for Diffeomorphic Image Registration and Its Application to Myocardial Delineation" @default.
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• W2108589375 doi "https://doi.org/10.1007/978-3-642-15705-9_42" @default.
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