A Novel 3D Multi-Scale Lineness Filter for Vessel Detection

H.E. Bennink, H.C. Assen, van, G.J. Streekstra, R. Wee, ter, J.A.E. Spaan, B.M. Haar Romenij, ter

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

27 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2007) October 29 - November 2, 2007, Brisbane, Australia
EditorsN. Ayache, S. Ourselin, A. MAeder
Place of PublicationBerlin
Publication statusPublished - 2007

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


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