3d multi-scale line filter for segmentation and visualization of curvilinear structures in medical images

Yoshinobu Sato; Shin Nakajima; Hideki Atsumi; Thomas Roller; Guido Gerig; Shigeyuki Yoshida; Ron Kikinis

doi:10.1007/bfb0029240

3d multi-scale line filter for segmentation and visualization of curvilinear structures in medical images

Yoshinobu Sato, Shin Nakajima, Hideki Atsumi, Thomas Roller, Guido Gerig, Shigeyuki Yoshida, Ron Kikinis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes a method for the enhancement of curvilinear structures like vessels and bronchi in 3D medical images. We develop a line-enhancement filter based on the eigenvalues of Hessian matrix aiming at both the discrimination of line structures from other structures and the recovery of original line structures from corrupted ones. The multi-scale responses of the line filters are integrated based on the equalization of noise level at each scale. The resulted multi-scale line filtered images provide significantly improved segmentation of curvilinear structures. The line-filtered images are also useful for the direct visualization of curvilinear structures by combining with a volume rendering technique even from conventional MR images. We show the usefulness of the method through the segmentation and visualization of vessels from MRA and MR images, and bronchi from CT images.

Original language	English (US)
Title of host publication	CVRMed-MRCAS 1997 - 1st Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery, Proceedings
Editors	Jocelyne Troccaz, Eric Grimson, Ralph Mösges
Publisher	Springer Verlag
Pages	213-222
Number of pages	10
ISBN (Print)	3540627340, 9783540627340
DOIs	https://doi.org/10.1007/bfb0029240
State	Published - 1997
Event	1st International Joint Conference on Computer Vision, Virtual Reality, and Robotics in Medicine and Medical Robotics and Computer Assisted Surgery, CVRMed-MRCAS 1997 - Grenoble, France Duration: Mar 19 1997 → Mar 22 1997

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1205
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st International Joint Conference on Computer Vision, Virtual Reality, and Robotics in Medicine and Medical Robotics and Computer Assisted Surgery, CVRMed-MRCAS 1997
Country	France
City	Grenoble
Period	3/19/97 → 3/22/97

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/bfb0029240

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Cite this

Sato, Y., Nakajima, S., Atsumi, H., Roller, T., Gerig, G., Yoshida, S., & Kikinis, R. (1997). 3d multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. In J. Troccaz, E. Grimson, & R. Mösges (Eds.), CVRMed-MRCAS 1997 - 1st Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery, Proceedings (pp. 213-222). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1205). Springer Verlag. https://doi.org/10.1007/bfb0029240

3d multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. / Sato, Yoshinobu; Nakajima, Shin; Atsumi, Hideki; Roller, Thomas; Gerig, Guido; Yoshida, Shigeyuki; Kikinis, Ron.

CVRMed-MRCAS 1997 - 1st Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery, Proceedings. ed. / Jocelyne Troccaz; Eric Grimson; Ralph Mösges. Springer Verlag, 1997. p. 213-222 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1205).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sato, Y, Nakajima, S, Atsumi, H, Roller, T, Gerig, G, Yoshida, S & Kikinis, R 1997, 3d multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. in J Troccaz, E Grimson & R Mösges (eds), CVRMed-MRCAS 1997 - 1st Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1205, Springer Verlag, pp. 213-222, 1st International Joint Conference on Computer Vision, Virtual Reality, and Robotics in Medicine and Medical Robotics and Computer Assisted Surgery, CVRMed-MRCAS 1997, Grenoble, France, 3/19/97. https://doi.org/10.1007/bfb0029240

Sato Y, Nakajima S, Atsumi H, Roller T, Gerig G, Yoshida S et al. 3d multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. In Troccaz J, Grimson E, Mösges R, editors, CVRMed-MRCAS 1997 - 1st Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery, Proceedings. Springer Verlag. 1997. p. 213-222. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/bfb0029240

Sato, Yoshinobu ; Nakajima, Shin ; Atsumi, Hideki ; Roller, Thomas ; Gerig, Guido ; Yoshida, Shigeyuki ; Kikinis, Ron. / 3d multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. CVRMed-MRCAS 1997 - 1st Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery, Proceedings. editor / Jocelyne Troccaz ; Eric Grimson ; Ralph Mösges. Springer Verlag, 1997. pp. 213-222 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper describes a method for the enhancement of curvilinear structures like vessels and bronchi in 3D medical images. We develop a line-enhancement filter based on the eigenvalues of Hessian matrix aiming at both the discrimination of line structures from other structures and the recovery of original line structures from corrupted ones. The multi-scale responses of the line filters are integrated based on the equalization of noise level at each scale. The resulted multi-scale line filtered images provide significantly improved segmentation of curvilinear structures. The line-filtered images are also useful for the direct visualization of curvilinear structures by combining with a volume rendering technique even from conventional MR images. We show the usefulness of the method through the segmentation and visualization of vessels from MRA and MR images, and bronchi from CT images.",

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