Patent ID: 9370316
Filing Date: 2016-06-21
CPC Classification: A61B,G16H

Claim Text:
1. A method comprising: providing an adaptive neural network with training criterion image data of known radioactive contrast agent concentration in biological tissue, providing the adaptive neural network with MRI image data from a patient before injection of a radioactive MRI contrast agent into the patient, providing the adaptive neural network with MRI image data from the patient after injection of a radioactive MRI contrast agent into the patient, the adaptive neural network measuring any change between the MRI image data from a patient before injection of a radioactive MRI contrast agent into the patient and the MRI image data from the patient after injection of a radioactive MRI contrast agent into the patient, and comparing the training criterion data of known radioactive agent concentration with any change in MRI image data from the patient after injection of the radioactive contrast agent and measuring the concentration of radioactive contrast agent in the post-injection MRI image as a continuous variable, each by using the adaptive neural network; wherein the MRI image data from the patient before injection and the MRI image data from the patient after injection are each prepared from MRI tissue magnetization according to at least one of the following steps: wherein the radioactive MRI contrast agent injected into the patient comprises a gadolinium labeled agent; and wherein the training criterion image data are derived from autoradiographic images of tissue radioactive contrast agent administration to a mammal.