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Proceedings Paper

Tumor images registration based on Chamfer matching algorithm
Author(s): Zhenzhong Lu; Liang Zhang; Taiyi Zhang
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Paper Abstract

Clinical diagnosis is often supported by a wide variety of medical images. Different images with their own specialized information complement each other. Biomedical image registration addresses the mapping of two or more images of same patient. In this paper, a Distance Transform (DT) is applied to the edge of the natural brain tissue in the CT image. Then the registration based on Chamfer matching algorithm is accomplished by using the edges of the natural brain tissue in MR-T1 and MR-T2 images as masks. When two images are precisely matched, the fusion of CT and MR is performed. The example used in this paper is the registration of CT and MR images of a brain tumor patient. After matching and fusion, the resultant image shows clear structure for all tissue and distinct contrast between gray matter and white matter. The tumor part in the final image pops out. Also, the details which show how the tumor presses the surrounding brain parenchyma are vivid. The algorithm can also be used as a reference for the matching of other medical images such as SPECT, PET, DSA, etc.

Paper Details

Date Published: 28 March 2005
PDF: 7 pages
Proc. SPIE 5803, Intelligent Computing: Theory and Applications III, (28 March 2005); doi: 10.1117/12.603054
Show Author Affiliations
Zhenzhong Lu, Xi'an Jiaotong Univ. (China) and Airforce Engineering Univ. (China)
Liang Zhang, Airforce Engineering Univ. (China)
Taiyi Zhang, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 5803:
Intelligent Computing: Theory and Applications III
Kevin L. Priddy, Editor(s)

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