Chen K, Lawson M, Reiman E, Cooper A, Feng D, Huang S C, Bandy D, Ho D, Yun L S, Palant A
PET Center, Good Samaritan Regional Medical Center, Phoenix, AZ 85006, USA.
IEEE Trans Med Imaging. 1998 Apr;17(2):236-43. doi: 10.1109/42.700735.
In this paper, we developed and tested strategies for estimating myocardial blood flow (MBF) and generating MBF parametric images using positron emission tomography (PET), N-13 ammonia, and the generalized linear least square (GLLS) method. GLLS was generalized to the general linear compartment model, modified for the correction of spillover, validated using simulated N-13 ammonia data, and examined using PET data from several patient studies. In comparison to the standard model-fitting procedure, the GLLS method provided similar accuracy and superior computational speed.
在本文中，我们开发并测试了使用正电子发射断层扫描（PET）、N-13氨和广义线性最小二乘法（GLLS）来估计心肌血流量（MBF）并生成MBF参数图像的策略。GLLS被推广到一般线性房室模型，针对溢出校正进行了修改，使用模拟的N-13氨数据进行了验证，并使用来自多个患者研究的PET数据进行了检验。与标准模型拟合程序相比，GLLS方法具有相似的准确性和更高的计算速度。
