Auckland MRI Research Group, University of Auckland, Auckland, New Zealand.
JACC Cardiovasc Imaging. 2010 Aug;3(8):860-6. doi: 10.1016/j.jcmg.2010.04.013.
An efficient nonrigid registration algorithm was implemented on the image reconstruction computer to enable in-line automatic tracking of features in steady-state free precession cine images. Four-dimensional left ventricle function analysis was performed with and without use of the in-line automatic tracking result. The method was tested in 30 patients referred for cardiac magnetic resonance imaging for a variety of clinical assessments. The time required for in-line tracking was 10 +/- 2 s per slice using an image reconstructor with dual Advanced Micro Devices single-core Opteron 248 CPUs (2.2 GHz) and 8GB random access memory. The precision of clinical estimates of left ventricular volumes was significantly improved relative to the ground truth research estimates with automatic tracking versus without (6 ml vs. 9 ml in end-diastolic volume; 5 ml vs. 10 ml in end-systolic volume; both p < 0.05). In-line automatic tracking of image features shows promise for facilitating clinical analysis of ventricular function.
在图像重建计算机上实现了一种高效的非刚性配准算法，以实现稳态自由进动电影图像中特征的在线自动跟踪。使用和不使用在线自动跟踪结果进行了四维左心室功能分析。该方法在 30 名因各种临床评估而接受心脏磁共振成像的患者中进行了测试。使用具有双 AMD 单核 Opteron 248 CPU（2.2GHz）和 8GB 随机存取存储器的图像重建器，每片所需的在线跟踪时间为 10±2 秒。与无自动跟踪相比，临床估计左心室容积的精度显著提高（舒张末期容积分别为 6ml 与 9ml；收缩末期容积分别为 5ml 与 10ml；均 p<0.05）。图像特征的在线自动跟踪有望促进心室功能的临床分析。
