Estimating pharmacokinetics of contrast agents by cardiovascular system analysis models and/or neural network algorithms

The present disclosure relates to estimating pharmacokinetics of contrast agents through cardiovascular system analysis models and/or neural network algorithms. According to various examples, a contrast agent is estimated through pharmacokinetics of the cardiovascular system of a patient. This is accomplished using an analytical model, such as a compartment model (2051) or a linear time-invariant model (2052) and/or one or more neural network algorithms (2010). 本公开涉及通过心血管系统分析模型和/或神经网络算法来估计造影剂的药代动力学。根据各种示例，造影剂通过患者心血管系统的药代动力学被估计。这是使用诸如隔室模型(2051)或线性时不变模型(2052)和/或一个或多个神经网络算法(2010)之类的分析模型来实现的。