Systems and methods for platform agnostic whole body image segmentation

A system for automatically processing a 3D image to identify 3D volumes within the 3D image that correspond to particular target tissue regions, 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 following administration to the subject of a radiopharmaceutical comprising a prostate-specific membrane antigen (PSMA) binding agent;
• (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) determine, using the one or more 3D volumes, one or more uptake metrics that represent uptake of the radiopharmaceutical in particular organs and/or tissue regions.