3-D Image reconstruction of brain vessels from angiograms

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

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages547-552
Number of pages6
Publication statusPublished - 1996 Dec 1
EventProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust
Duration: 1996 Nov 261996 Nov 29

Other

OtherProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)
CityPerth, Aust
Period96-11-2696-11-29

Fingerprint

Matched filters
Blood vessels
Image reconstruction
Splines
Light sources
Brain

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

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. Paper presented at 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. Paper presented at Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2), Perth, Aust, .6 p.
@conference{b9e52f4f69b04b2da4c7bd4b4e43b30f,
title = "3-D Image reconstruction of brain vessels from angiograms",
abstract = "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.",
author = "Lee, {J. Y.} and Chen, {C. H.} and Tasai, {J. M.} and Yung-Nien Sun and Mao, {C. W.}",
year = "1996",
month = "12",
day = "1",
language = "English",
pages = "547--552",
note = "Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) ; Conference date: 26-11-1996 Through 29-11-1996",

}

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

Research output: Contribution to conferencePaper

TY - CONF

T1 - 3-D Image reconstruction of brain vessels from angiograms

AU - Lee, J. Y.

AU - Chen, C. H.

AU - Tasai, J. M.

AU - Sun, Yung-Nien

AU - Mao, C. W.

PY - 1996/12/1

Y1 - 1996/12/1

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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0030315823&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030315823&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0030315823

SP - 547

EP - 552

ER -

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