@inproceedings{34ceb50a97db4e1db2c2fd9a27554398,
title = "3d multi-scale line filter for segmentation and visualization of curvilinear structures in medical images",
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.",
author = "Yoshinobu Sato and Shin Nakajima and Hideki Atsumi and Thomas Roller and Guido Gerig and Shigeyuki Yoshida and Ron Kikinis",
year = "1997",
month = jan,
day = "1",
language = "English (US)",
isbn = "3540627340",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "213--222",
editor = "Ralph M{\"o}sges and Eric Grimson and Jocelyne Troccaz",
booktitle = "CVRMed-MRCAS 1997 - 1st Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery, Proceedings",
note = "1st International Joint Conference on Computer Vision, Virtual Reality, and Robotics in Medicine and Medical Robotics and Computer Assisted Surgery, CVRMed-MRCAS 1997 ; Conference date: 19-03-1997 Through 22-03-1997",
}