Lin Xiang, Cowan Brett R, Young Alistair A
Bioengineering Institute, University of Auckland, New Zealand.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):728-35. doi: 10.1007/11866565_89.
We present a fully automated method to estimate the location and orientation of the left ventricle (LV) in four-dimensional (4D) cardiac magnetic resonance (CMR) images without any user input. The method is based on low-level image processing techniques incorporating anatomical knowledge and is able to provide rapid, robust feedback for automated scan planning or further processing. The method relies on a novel combination of temporal Fourier analysis of image cines with simple contour detection to achieve a fast localization of the heart. Quantitative validation was performed using 4D CMR datasets from 330 patients (54024 images) with a range of cardiac and vascular disease by comparing manual location with the automatic results. The method failed on one case, and showed average bias and precision of under 5mm in apical, mid-ventricular and basal slices in the remaining 329. The errors in automatic orientation were similar to the errors in scan planning as performed by experienced technicians.
我们提出了一种全自动方法，无需任何用户输入即可估计四维（4D）心脏磁共振（CMR）图像中左心室（LV）的位置和方向。该方法基于结合解剖学知识的低级图像处理技术，能够为自动扫描规划或进一步处理提供快速、可靠的反馈。该方法依靠对电影图像进行时间傅里叶分析与简单轮廓检测的新颖组合来实现心脏的快速定位。通过将手动定位与自动结果进行比较，使用来自330例患有一系列心脏和血管疾病的患者的4D CMR数据集（54024张图像）进行了定量验证。该方法在一个病例上失败，在其余329例中，心尖、心室中部和基底切片的平均偏差和精度均在5mm以下。自动定向的误差与经验丰富的技术人员进行扫描规划时的误差相似。
