Cao Yue, Alspaugh Jonathan, Shen Zhou, Balter James M, Lawrence Theodore S, Ten Haken Randall K
Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109, USA.
Med Phys. 2006 Aug;33(8):3057-62. doi: 10.1118/1.2219773.
Voxel-by-voxel estimation of liver perfusion using nonlinear least-squares fits of dynamic contrast enhanced computed tomography or magnetic resonance imaging data to a compartmental model is a computational expensive process. In this report, a "linear" least-squares method for estimation of liver perfusion is described. Simulated data and the data from an example case of a patient with intrahepatic cancer are presented. Compared to the nonlinear method, the new method can improve computational speed by a factor of approximately 400, which makes it practical for use in clinical trials.
使用动态对比增强计算机断层扫描或磁共振成像数据对隔室模型进行非线性最小二乘拟合来逐体素估计肝脏灌注是一个计算成本高昂的过程。在本报告中，描述了一种用于估计肝脏灌注的“线性”最小二乘方法。给出了模拟数据以及来自一名肝癌患者实例的数据。与非线性方法相比，新方法可将计算速度提高约400倍，这使其在临床试验中具有实际应用价值。
