论文标题
在多对比3D MRI数据中，可靠的颅内血管可视化稳健的中心线预测
Robust Centerline Prediction for Accurate Vessel Wall Visualization of Intracranial Vessels in Multi-Contrast 3D MRI Data
论文作者
论文摘要
对于改进的腔内和壁画评估，尤其是在低分辨率的磁共振成像（MRI）数据集中，必须在标准临床环境中获得的精确平面可视化（弯曲的平面改革-CPR -CPR）。基于所需结构的中心线的CPR可视化方法快速易于实现，但准确性在很大程度上取决于3D数据集的空间分辨率和所需容器的大小。在手稿中，提出了一种用于多对比3D MRI数据的快速，稳健中心线计算的新型算法。它考虑了血管结构的提取表面，以进行更准确的中心线预测，从而增强了小血管的CPR可视化。
An accurate planar visualization (curved planar reformation - CPR) of intracranial arteries is mandatory for an improved luminal and mural assessment especially in low resolution Magnetic Resonance Imaging (MRI) data sets acquired in standard clinical settings. CPR visualization methods based on the centerline of the desired structure are fast and easy to implement but the accuracy strongly depends on the spatial resolution of the 3D data set and the size of the desired vessel. In the manuscript, a novel algorithm for fast and robust centerline calculation in multi-contrast 3D MRI data is presented. It considers the extracted surface of the vessel structure for a more accurate centerline prediction resulting in an enhanced CPR visualization of small vessels.
