US 12,094,147 B2
Estimating a thickness of cortical region by extracting a plurality of interfaces as mesh data
Eunpyeong Hong, Gyeonggi-do (KR); Wonmo Jung, Seoul (KR); Sejin Park, Gyeonggi-do (KR); Hyunwoo Oh, Seoul (KR); Dong Soo Lee, Seoul (KR); Weon Jin Kim, Seoul (KR); and Jinkyeong Sung, Seoul (KR)
Assigned to VUNO Inc., Seoul (KR)
Filed by VUNO Inc., Seoul (KR)
Filed on Oct. 25, 2021, as Appl. No. 17/509,590.
Claims priority of application No. 10-2020-0139713 (KR), filed on Oct. 26, 2020.
Prior Publication US 2022/0130065 A1, Apr. 28, 2022
Int. Cl. G06T 7/62 (2017.01); G06T 7/00 (2017.01); G06T 17/20 (2006.01)
CPC G06T 7/62 (2017.01) [G06T 7/0012 (2013.01); G06T 17/20 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method for analyzing a thickness of a cortical region, performed by a computing device including one or more processors, the method comprising:
extracting a plurality of interfaces included in a cortical region based on a mask generated from a medical image including at least one brain region; and
estimating a thickness of the cortical region based on the plurality of interfaces,
wherein the extracting the plurality of interfaces included in the cortical region comprises:
extracting each of the plurality of interfaces as mesh data including a vertex and an edge based on the mask,
wherein the estimating the thickness of the cortical region based on the plurality of interfaces comprises:
estimating the thickness of the cortical region based on a distance between vertices included in each of the plurality of interfaces.