Robust nonrigid registration to capture brain shift from intraoperative MRI

We present a new algorithm to register 3-D preoperative magnetic resonance (MR) images to intraoperative MR images of the brain which have undergone brain shift. This algorithm relies on a robust estimation of the deformation from a sparse noisy set of measured displacements. We propose a new framew...

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Veröffentlicht in:	IEEE transactions on medical imaging 2005-11, Vol.24 (11), p.1417-1427
Hauptverfasser:	Clatz, O., Delingette, H., Talos, I.-F., Golby, A.J., Kikinis, R., Jolesz, F.A., Ayache, N., Warfield, S.K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Brain Neoplasms - pathology Brain Neoplasms - physiopathology Brain Neoplasms - surgery Brain shift Clustering algorithms Computer Simulation Elasticity Finite element analysis finite element model Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Intraoperative Care - methods intraoperative magnetic resonance imaging Iterative algorithms Least squares approximation Magnetic field measurement Magnetic noise Magnetic resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Models, Biological Motion Neoplasms Neuronavigation - methods nonrigid registration Registers Reproducibility of Results Robustness Sensitivity and Specificity Studies Subtraction Technique Surgery, Computer-Assisted - methods User-Computer Interface
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