US 11,837,355 B2
System and method for assisting verification of labeling and contouring of multiple regions of interest
Han Young Kim, Seoul (KR)
Assigned to INFINITT HEALTHCARE CO., LTD., Seoul (KR)
Filed by INFINITT HEALTHCARE CO., LTD., Seoul (KR)
Filed on Jan. 20, 2021, as Appl. No. 17/153,179.
Claims priority of application No. 10-2020-0180446 (KR), filed on Dec. 22, 2020.
Prior Publication US 2022/0199231 A1, Jun. 23, 2022
Int. Cl. G16H 30/40 (2018.01); G06T 7/00 (2017.01); G16H 30/20 (2018.01); G06V 10/25 (2022.01)
CPC G16H 30/40 (2018.01) [G06T 7/0012 (2013.01); G06V 10/25 (2022.01); G16H 30/20 (2018.01)] 14 Claims
OG exemplary drawing
 
1. A system for assisting verification of contouring of medical images, the system comprising:
at least one processor;
a user interface; and
a communication interface,
wherein the at least one processor is further configured to:
receive a medical image set including a plurality of medical images via the communication interface;
receive result information of contouring performed on a plurality of regions of interest (ROIs) on the plurality of medical images in the medical image set via the communication interface;
display a boundary of each of the plurality of ROIs corresponding to the result information of the contouring by projecting the boundary onto a reference plane showing summarized information regarding the result information of the contouring for the plurality of the medical images;
detect an error included in the result information of the contouring performed on each of the plurality of ROIs by analyzing the boundary of each of the plurality of ROIs corresponding to the result information of the contouring;
identify at least one first image corresponding to the detected error from among the plurality of medical images; and
display the detected error indicating the at least one first image corresponding thereto based on a location of the at least one first image on the reference plane, the location of the at least one first image indicating a relative position in the medical image set.