Patent ID: 9672616
Date: 2017-06-06
CPC Classifications: G06T

Claim:
1. A computer-implemented method of obtaining one or more probability density functions, each representing, for a different one tissue type from a plurality of possible tissue types of a predetermined classification scheme, a variation in a probability of obtaining a value of a first parameter associated with a first imaging modality over a range of possible values, the probability density function being for use in processing first imaging data obtained using the first imaging modality from a volume of tissue of a patient in order to assign each of first imaging voxels of the first imaging data to one of the tissue types of the classification scheme, the method comprising: accessing a reference database comprising second imaging data obtained from at least one reference tissue volume using a second imaging modality, the second imaging data comprising a value of a second parameter associated with the second imaging modality for each of a plurality of second imaging data voxels, and third imaging data obtained from the same at least one reference tissue volume using the first imaging modality, the third imaging data comprising a value of the first parameter for each of a plurality of third imaging data voxels; using the second imaging data to identify the tissue type, according to the predetermined classification scheme, of a plurality of the second imaging data voxels in the reference tissue volume; for each tissue type, identifying which third imaging data voxels correspond to second imaging data voxels of the tissue type in order to identify a set of third imaging data voxels corresponding to each tissue type; and analysing the distribution of values of the first parameter for the set of third imaging data voxels of each tissue type in order to determine the probability density function for the first parameter value for each of the tissue types.