Patent ID: 8366627

Claim:
A method for computing a series of estimates of a selected cerebrovascular property comprising at least one of a cerebrovascular resistance, an intracranial pressure, and a cerebrovascular compliance, comprising: receiving, at a processor, a series of arterial blood pressure measurements of a particular patient; receiving, at the processor, a series of cerebrovascular flow measurements of the particular patient, the cerebrovascular flow measurements comprising at least one of cerebral blood flow measurements and cerebral blood flow velocity measurements; and computing, with the processor, a series of estimates of the selected cerebrovascular property based at least in part on a corresponding series of estimates of elements of a computational model using the corresponding received measurements, the computational model representing predicted relationships among computational model elements corresponding to physiological properties, including a cerebrovascular resistance element, a cerebrovascular compliance element, an intracranial pressure element, an arterial blood pressure element and a cerebrovascular flow element; wherein computing each estimate in the series of estimates of the selected cerebrovascular property comprises: selecting values for at least one of the elements of the computational model to minimize an error criterion between the received measurements and predictions, by the computational model, of the elements corresponding to the received measurements; and identifying the selected value of the element corresponding to the selected cerebrovascular property as the estimate of the selected cerebrovascular property.