Chapman Brian E, Parker Dennis L
Imaging Research, Department of Radiology, University of Pittsburgh, Suite 4200, 300 Halket Street, Pittsburgh, PA 15213-3180, USA.
Med Image Anal. 2005 Jun;9(3):191-208. doi: 10.1016/j.media.2004.08.001.
In this paper we evaluate the use of voxel intensity curvature measurements to enhance vessels in 3D MRA images. We compare a multi-scale discrete kernel filter (MaxCurve) to the Hessian matrix based filter proposed by Frangi and co-workers. The MaxCurve filter is based on the maximum difference between the negative curvature computed along orthogonal lines defined by a 3x3x3 kernel. Filter performance is assessed using measures of vessel and background separation (contrast and the area under the ROC curve). Filter parameters are optimized using a training set of four typical time-of-flight MRA images and tested on a separate set of ten MRA images with the same acquisition parameters. The filters tended to provide good MIP image contrast enhancement. The filters are applied to MRA images acquired with different parameters and field strengths indicating potential usefulness for a variety of images. Overall the discrete kernel and Hessian matrix filter performed quite similarly.
在本文中，我们评估了体素强度曲率测量在增强三维磁共振血管造影（3D MRA）图像中血管方面的应用。我们将一种多尺度离散核滤波器（MaxCurve）与Frangi及其同事提出的基于黑塞矩阵的滤波器进行了比较。MaxCurve滤波器基于沿着由3x3x3核定义的正交线计算的负曲率之间的最大差值。使用血管与背景分离的度量（对比度和ROC曲线下面积）来评估滤波器性能。使用一组包含四张典型时间飞跃MRA图像的训练集对滤波器参数进行优化，并在另一组具有相同采集参数的十张MRA图像上进行测试。这些滤波器倾向于提供良好的最大强度投影（MIP）图像对比度增强效果。这些滤波器被应用于以不同参数和场强采集的MRA图像，表明其对各种图像具有潜在的实用性。总体而言，离散核滤波器和黑塞矩阵滤波器的表现相当相似。
