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Proceedings Paper

Deformable image registration using improved hybrid elastic model
Author(s): Xiaogang Chang; Zhifeng Cai; Marc Jaeger; Hanqing Lu
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Paper Abstract

This paper present an approach based on improved hybrid elastic model for deformable image registration. This method utilizes the linear spring net model for correspondence, and the thin-plate spline for non-rigid mapping. Compared with the original model, this improved method uses not only the intensity information, but also the weighted gray level histogram and the image gradient for similarity measurement. A multi-resolution strategy is involved to decrease the computing complexity and to increase the precision. Some experiments are performed on both synthetic and segmented medical images.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538840
Show Author Affiliations
Xiaogang Chang, Institute of Automation, CAS (China)
LIAMA, CAS (China)
Zhifeng Cai, Institute of Automation, CAS (China)
Marc Jaeger, LIAMA, CAS (China)
Hanqing Lu, Institute of Automation, CAS (China)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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