Patent ID: 11893729
Assignee: GE PRECISION HEALTHCARE LLC
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 8:
9. A method for computer-aided prostate condition diagnosis, the method comprising:
detecting, using a neural network, a lesion from an image of a prostate gland based at least in part on a prostate mask comprising one or more zones of the prostate gland;
generating a mapping of the lesion from the image to a sector map without user input, the generating the mapping of the lesion comprising identifying a depth region of the lesion, wherein the depth region indicates a location of the lesion along a depth axis, wherein the generating of the mapping of the lesion is performed using a digital twin;
providing the sector map comprising a representation of the lesion within the prostate gland mapped from the image to the sector map;
generating a score using the neural network and the provided sector map comprising the representation of the lesion mapped from the image to the sector map; and
displaying the sector map with the representation of the of the lesion within the prostate gland,
wherein the depth region is identified using an apex region, a mid region, and a base region of the prostate gland,
wherein the generating the mapping comprises calculating one or more polar coordinates relative to a center of the lesion in the image,
wherein the generating the mapping comprises computing a normalized radius based on the center of the lesion in the image, and
wherein the generating the mapping comprises computing a de-normalized radius based on the normalized radius and one or more dimensions of the sector map.