3D rigid registration of intraoperative ultrasound and preoperative MR brain images based on hyperechogenic structures

Authors:
Pierrick Coupé;Pierre Hellier;Xavier Morandi;Christian Barillot
Affiliations:
LaBRI CNRS, UMR, Université Bordeaux, Talence Cedex, France and University of Rennes I, Rennes, France and INRIA and INSERM;Technicolor Corporate Research Rennes Laboratory, Cesson-Sévigné Cedex, France;University of Rennes I, Rennes, France and INRIA and INSERM and University Hospital of Rennes;University of Rennes I, Rennes, France and INRIA and INSERM
Venue:
Journal of Biomedical Imaging
Year:
2012

Citing 9
Cited 0

Scale and the differential structure of images

Image and Vision Computing - Special issue: information processing in medical imaging 1991
Evaluation of Ridge Seeking Operators for Multimodality Medical Image Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking brain deformations in time sequences of 3D US images

Pattern Recognition Letters - Speciqal issue: Ultrasonic image processing and analysis
The correction of stereotactic inaccuracy caused by brain shift using an intraoperative ultrasound device

CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology

MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Bayesian Estimation of Intra-operative Deformation for Image-Guided Surgery Using 3-D Ultrasound

MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Ultrasound/MRI Overlay with Image Warping for Neurosurgery

MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Optimization of mutual information for multiresolution image registration

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The registration of intraoperative ultrasound (US) images with preoperative magnetic resonance (MR) images is a challenging problem due to the difference of information contained in each image modality. To overcome this difficulty, we introduce a new probabilistic function based on the matching of cerebral hyperechogenic structures. In brain imaging, these structures are the liquid interfaces such as the cerebral falx and the sulci, and the lesions when the corresponding tissue is hyperechogenic. The registration procedure is achieved by maximizing the joint probability for a voxel to be included in hyperechogenic structures in both modalities. Experiments were carried out on real datasets acquired during neurosurgical procedures. The proposed validation framework is based on (i) visual assessment, (ii) manual expert estimations, and (iii) a robustness study. Results show that the proposed method (i) is visually efficient, (ii) produces no statistically different registration accuracy compared to manual-based expert registration, and (iii) converges robustly. Finally, the computation time required by our method is compatible with intraoperative use.