Patent ID: 11941817
Assignee: EXINI DIAGNOSTICS AB
Field: Pharmaceuticals (Chemistry)
Classification: CPC G  A | IPC A  G

Claim 9:
10. A system for automatically processing 3D images to automatically identify cancerous lesions within a subject, 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) automatically identify, using one or more machine learning modules, for each of a plurality of target tissue regions, a corresponding target volume of interest (VOI) within the 3D anatomical image;
(c) determine a 3D segmentation map representing a plurality of 3D segmentation masks, each 3D segmentation mask representing a particular identified target VOI;
(d) receive a 3D functional image of the subject obtained using a functional imaging modality;
(e) identify, within the 3D functional image, one or more 3D volume(s), each corresponding to an identified target VOI, using the 3D segmentation map; and
(f) automatically detect, within at least a portion of the one or more 3D volumes identified within the 3D functional image, one or more hotspots determined to represent lesions based on intensities of voxels within the 3D functional image.