3-D Image reconstruction of brain vessels from angiograms

J. Y. Lee, C. H. Chen, J. M. Tasai, Yung-Nien Sun, C. W. Mao

研究成果: Paper

4 引文 (Scopus)

摘要

This paper presents a reconstruction process to build the three-dimensional cerebral vessel tree from a pair of DSAs (digital subtraction angiograms). To segment the blood vessels from the background, the local thresholding and global thresholding was used to bilevel the input image. Thinning is applied to obtain the skeleton of the vessels. The B-Spline curve is used to smooth the skeleton. The skeleton is then tracked to find the branch points of the skeleton and used as the feature points for matching. The radius of the vessel was detected by the matched filter concept. For each feature point in the first image, we use the epipolar constraint and the property of feature points to find its correspondence on the other image. From the DSA machine structure, the data provided by the machine and the correspondence information, the least squares estimate of the real 3D skeleton position is obtained. By using the Gouraud Shading method and the radius information, we display the reconstructed 3D shading images for various viewing angles and light source directions.

原文English
頁面547-552
頁數6
出版狀態Published - 1996 十二月 1
事件Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust
持續時間: 1996 十一月 261996 十一月 29

Other

OtherProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)
城市Perth, Aust
期間96-11-2696-11-29

指紋

Matched filters
Blood vessels
Image reconstruction
Splines
Light sources
Brain

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

引用此文

Lee, J. Y., Chen, C. H., Tasai, J. M., Sun, Y-N., & Mao, C. W. (1996). 3-D Image reconstruction of brain vessels from angiograms. 547-552. 論文發表於 Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2), Perth, Aust, .
Lee, J. Y. ; Chen, C. H. ; Tasai, J. M. ; Sun, Yung-Nien ; Mao, C. W. / 3-D Image reconstruction of brain vessels from angiograms. 論文發表於 Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2), Perth, Aust, .6 p.
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Lee, JY, Chen, CH, Tasai, JM, Sun, Y-N & Mao, CW 1996, '3-D Image reconstruction of brain vessels from angiograms', 論文發表於 Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2), Perth, Aust, 96-11-26 - 96-11-29 頁 547-552.

3-D Image reconstruction of brain vessels from angiograms. / Lee, J. Y.; Chen, C. H.; Tasai, J. M.; Sun, Yung-Nien; Mao, C. W.

1996. 547-552 論文發表於 Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2), Perth, Aust, .

研究成果: Paper

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N2 - This paper presents a reconstruction process to build the three-dimensional cerebral vessel tree from a pair of DSAs (digital subtraction angiograms). To segment the blood vessels from the background, the local thresholding and global thresholding was used to bilevel the input image. Thinning is applied to obtain the skeleton of the vessels. The B-Spline curve is used to smooth the skeleton. The skeleton is then tracked to find the branch points of the skeleton and used as the feature points for matching. The radius of the vessel was detected by the matched filter concept. For each feature point in the first image, we use the epipolar constraint and the property of feature points to find its correspondence on the other image. From the DSA machine structure, the data provided by the machine and the correspondence information, the least squares estimate of the real 3D skeleton position is obtained. By using the Gouraud Shading method and the radius information, we display the reconstructed 3D shading images for various viewing angles and light source directions.

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Lee JY, Chen CH, Tasai JM, Sun Y-N, Mao CW. 3-D Image reconstruction of brain vessels from angiograms. 1996. 論文發表於 Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2), Perth, Aust, .