Bennink H E, van Assen H C, Streekstra G J, ter Wee R, Spaan J A E, ter Haar Romeny B M
Biomedical Image Analysis, Faculty of Biomedical Engineering, Eindhoven University of Technology, The Netherlands.
Med Image Comput Comput Assist Interv. 2007;10(Pt 2):436-43. doi: 10.1007/978-3-540-75759-7_53.
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.
冠状动脉微血管的分支模式和几何结构对于详细理解和模拟心脏中的血流分布以及造影剂侵入、缺血变化和修复过程具有重要意义。对整个山羊心脏的动脉微血管高分辨率三维体积进行分析，这些体积是用成像冷冻切片机获取的。多尺度血管检测是对冠状动脉微血管进行详细定量分析所需的重要步骤。基于目视检查，导出的线性度滤波器在真实数据和数字模型上显示出有前景的结果，朝着准确计算机重建整个冠状动脉树迈进。这种新型线性度滤波器利用局部一阶和二阶多尺度导数，以便对线条中心给出与强度无关的响应，并抑制对陡峭边缘的不必要响应。
