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Robust Non-Rigid Registration to Capture Brain Shift from Intra-Operative MRI
 

Summary: 1
Robust Non-Rigid Registration to Capture Brain
Shift from Intra-Operative MRI
Olivier Clatz, Herv´e Delingette, Ion-Florin Talos, Alexandra J. Golby, Ron Kikinis, Ferenc A. Jolesz,
Nicholas Ayache, Simon K. Warfield
Epidaure Research Project, INRIA
(Institut National de Recherche en Informatique et Automatique) de Sophia Antipolis, France
Surgical Planning Laboratory,
Brigham and Women's Hospital, Harvard Medical School, Boston, USA
Computational Radiology Laboratory,
Brigham and Women's Hospital, Children's Hospital, Harvard Medical School, Boston, USA
Abstract-- We present a new algorithm to register 3D pre-
operative Magnetic Resonance (MR) images to intra-operative
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 framework to compute the displacement field in an iterative
process, allowing the solution to gradually move from an ap-
proximation formulation (minimizing the sum of a regularization
term and a data error term) to an interpolation formulation (least

  

Source: Ayache, Nicholas - INRIA

 

Collections: Computer Technologies and Information Sciences; Engineering