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MODEL PARAMETER DETERMINATION USING A PREDICTIVE MODEL

机译:使用预测模型的模型参数确定

摘要

A system may measure, using a measurement device, a response associated with a sample to an excitation. Then, the system may compute, using the measured response and the excitation as inputs to a predetermined predictive model, model parameters on a voxel-by-voxel basis in a forward model with multiple voxels that represent the sample. The forward model may simulate response physics occurring within the sample to a given excitation. For example, the forward model may be based on differential or phenomenological equations that approximates the response physics. Moreover, the system may determine an accuracy of the model parameters by comparing at least the measured response and a calculated predicted value of the response using the forward model, the model parameters and the excitation. When the accuracy exceeds a predefined value, the system may provide the model parameters as an output to: a user, another electronic device, a display, and/or a memory.
机译:系统可以使用测量装置来测量与样本与激发相关联的响应。 然后,系统可以使用测量的响应和激励作为预定预测模型的激励计算,以预定的预测模型,在具有代表样本的多个体素的前向模型中的逐个体素的模型参数进行模型参数。 前向模型可以模拟在样本内发生的响应物理到给定的激励。 例如,前向模型可以基于近似响应物理学的差分或现象学等式。 此外,系统可以通过使用前向模型,模型参数和激励来比较至少测量的响应和计算的预测值来确定模型参数的准确性。 当准确度超过预定值时,系统可以将模型参数作为输出提供给:用户,另一电子设备,显示器和/或存储器。

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