Patent ID: 11900597
Assignee: EXINI DIAGNOSTICS AB
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A system for determining a predicted disease status and/or a value corresponding to predicted risk of the disease status based on automated analysis of intensities of a three-dimensional (3D) functional image, the system comprising:
a processor of a computing device; and
a memory having instructions stored thereon, wherein the instructions, when executed by the processor, cause the processor to:
(a) receive a 3D anatomical image of a subject obtained using an anatomical imaging modality, wherein the 3D anatomical image comprises a graphical representation of tissue within the subject;
(b) identify, within the 3D anatomical image, a first volume corresponding to a target tissue volume of interest (VOI) within the subject;
(c) receive a 3D functional image of the subject obtained using a functional imaging modality; and
(d) determine a predicted disease status of the subject and/or a value corresponding to predicted risk of the disease status of the subject using a machine learning module that receives, as input, intensities of voxels of the 3D functional identified as corresponding to the first volume of the anatomical image.