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

Volume

18

Issue

6

fYear

1999

Firstpage

40

Lastpage

47

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;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/51.805143

Filename

805143