%0 Journal Article
%J IEEE Trans Med Imaging
%D 2005
%T Robust nonrigid registration to capture brain shift from intraoperative MRI
%A Clatz, Olivier
%A Delingette, HervĂ©
%A Talos, Ion-Florin
%A Golby, Alexandra J
%A Kikinis, Ron
%A Jolesz, Ferenc A
%A Ayache, Nicholas
%A Warfield, Simon K
%K Algorithms
%K Artificial Intelligence
%K Brain Neoplasms
%K Computer Simulation
%K Elasticity
%K Humans
%K Image Enhancement
%K Image Interpretation, Computer-Assisted
%K Imaging, Three-Dimensional
%K Intraoperative Care
%K Magnetic Resonance Imaging
%K Models, Biological
%K Motion
%K Neuronavigation
%K Reproducibility of Results
%K Sensitivity and Specificity
%K Subtraction Technique
%K Surgery, Computer-Assisted
%K User-Computer Interface
%X 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 framework to compute the displacement field in an iterative process, allowing the solution to gradually move from an approximation formulation (minimizing the sum of a regularization term and a data error term) to an interpolation formulation (least square minimization of the data error term). An outlier rejection step is introduced in this gradual registration process using a weighted least trimmed squares approach, aiming at improving the robustness of the algorithm. We use a patient-specific model discretized with the finite element method in order to ensure a realistic mechanical behavior of the brain tissue. To meet the clinical time constraint, we parallelized the slowest step of the algorithm so that we can perform a full 3-D image registration in 35 s (including the image update time) on a heterogeneous cluster of 15 personal computers. The algorithm has been tested on six cases of brain tumor resection, presenting a brain shift of up to 14 mm. The results show a good ability to recover large displacements, and a limited decrease of accuracy near the tumor resection cavity.
%B IEEE Trans Med Imaging
%V 24
%P 1417-27
%8 2005 Nov
%G eng
%N 11
%1 http://www.ncbi.nlm.nih.gov/pubmed/16279079?dopt=Abstract
%R 10.1109/TMI.2005.856734