Patent ID: 9218656
Filing Date: 2015-12-22
Classification: A61B,G06T,G16H,G16Z

Abstract:
1. A method for classifying a lesion in an MRI, comprising: acquiring, by an MR imager, a pre-contrast MR image; administering a magnetic contrast agent; acquiring, by the MR imager, a set of post-contrast MR images; displaying the acquired pre-contrast and post-contrast MR images; receiving, in a computer system, a plurality of manually entered factors pertaining to a lesion manually identified within the pre-contrast and post-contrast MR images, wherein the factors pertaining to the lesion include a manually entered value for a size (s) of a lesion manually identified within the pre-contrast and post-contrast MR images, and a manually entered value for an absorption/washout profile (t) of the manually identified lesion; and automatically determining, in the computer system, a risk of malignancy for the manually identified lesion based on the received plurality of factors pertaining to the lesion by normalizing a value of (s·t) 1 when the lesion exhibits a progressive absorption, 2 when the lesion exhibits a plateau, and 3 when the lesion exhibits a washout.