Title :
Automated registration of brain images using edge and surface features
Author :
Hsu, Li-yueh ; Loew, Murray H. ; Ostuni, J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
Abstract :
We present an automated multimodality (CT & MRI) registration algorithm based on hierarchical feature extraction. Two kinds of shape representations-edge and surface-are extracted hierarchically from different image modalities. The registration then is performed using least-squares matching of the user-specified (but automatically extracted) corresponding features. In our implementation, the 3-D version of the Canny edge detector is employed in the extraction of corresponding edge information. An automatic segmentation algorithm is introduced to extract the corresponding surfaces from the edges efficiently. The geometric matching of those extracted shape features then is performed using the iterative closest-point matching method
Keywords :
biomedical MRI; brain; computerised tomography; edge detection; feature extraction; image registration; image representation; image segmentation; iterative methods; least squares approximations; medical image processing; Canny edge detector; MRI; automated registration; automatic segmentation algorithm; brain images; computerised tomography; edge features; geometric matching; hierarchical feature extraction; hierarchical shape representation; iterative closest-point matching method; least-squares matching; multimodality image-registration algorithm; surface features; Brain; Computed tomography; Data mining; Detectors; Feature extraction; Image edge detection; Image segmentation; Iterative algorithms; Magnetic resonance imaging; Shape;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
