@inproceedings{85d01b04f1ed49bf8a99bd1cb5b81dea,
title = "A Novel 3D Multi-Scale Lineness Filter for Vessel Detection",
abstract = "The branching pattern and geometry of coronary microvessels are of high interest to understand and model the blood flow distribution and the processes of contrast invasion, ischemic changes and repair in the heart in detail. Analysis is performed on high resolution, 3D volumes of the arterial microvasculature of entire goat hearts, whichare acquired with an imaging cryomicrotome.Multi-scale vessel detection is an important step required for a detailed quantitative analysis of the coronary microvasculature, and by means of visual inspection of real data and digital phantoms, the derived lineness filter shows promising results on the way to accurate computerized reconstructions of entire coronary trees.The novel lineness filter exploits the local first and second order multi-scale derivatives in order to give an intensity-independent response to line centers and suppress unwanted responses to steep edges.",
author = "H.E. Bennink and {Assen, van}, H.C. and G.J. Streekstra and {Wee, ter}, R. and J.A.E. Spaan and {Haar Romenij, ter}, B.M.",
year = "2007",
doi = "10.1007/978-3-540-75759-7_53",
language = "English",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "436--443",
editor = "N. Ayache and S. Ourselin and A. MAeder",
booktitle = "Proceedings of the 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2007) October 29 - November 2, 2007, Brisbane, Australia",
address = "Germany",
}