A novel 3D multi-scale lineness filter for vessel detection

Authors:
H. E. Bennink;H. C. Van Assen;G. J. Streekstra;R. Ter Wee;J. A. E. Spaan;B. M. Ter Haar Romeny
Affiliations:
Biomedical Image Analysis, Faculty of Biomedical Engineering, Eindhoven University of Technology, The Netherlands;Biomedical Image Analysis, Faculty of Biomedical Engineering, Eindhoven University of Technology, The Netherlands;Department of Medical Physics, Academic Medical Center, University of Amsterdam, The Netherlands;Department of Medical Physics, Academic Medical Center, University of Amsterdam, The Netherlands;Department of Medical Physics, Academic Medical Center, University of Amsterdam, The Netherlands;Biomedical Image Analysis, Faculty of Biomedical Engineering, Eindhoven University of Technology, The Netherlands
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Year:
2007

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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, which are acquired with an imaging cryomicrotome. Multi-scale vessel detection is an important step required for a detailed quantitative analysis of the coronary microvasculature. Based on visual inspection, the derived lineness filter shows promising results on real data and digital phantoms, on the way towards 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 to suppress unwanted responses to steep edges.