Title:
METHOD FOR DERIVING HEAD MEASUREMENT PARAMETERS FOR TOOTH CORRECTION DIAGNOSIS BASED ON MACHINE LEARNING FROM THREE-DIMENSIONAL CBCT IMAGE CAPTURED AT NATURAL HEAD POSITION
Document Type and Number:
WIPO Patent Application WO/2023/013805
Kind Code:
A1
Abstract:
The present invention relates to a method for deriving head measurement parameters for tooth correction diagnosis based on machine learning. More specifically, the present invention relates to a method for deriving head measurement parameters for tooth correction diagnosis based on machine learning, wherein a machine-learning algorithm is applied to acquire a head measurement image of a subject from data of a cone-beam computer tomography (CBCT) image captured at a natural head position, and a plurality of measurement points can be precisely and rapidly measured on the head measurement image in order to derive 13 diagnosis parameters for precise tooth correction diagnosis.
Inventors:
AHN JANG HOON (KR)
Application Number:
PCT/KR2021/011012
Publication Date:
February 09, 2023
Filing Date:
August 19, 2021
Export Citation:
Assignee:
AINSIGHT INC (KR)
International Classes:
A61C7/00; A61B5/00; A61B6/00; A61B6/03; G06N20/00; G16H20/40; G16H30/00; G16H50/50
Foreign References:
| KR20190107683A | 2019-09-20 | |||
| KR20200023703A | 2020-03-06 | |||
| KR20150072078A | 2015-06-29 | |||
| KR20190067609A | 2019-06-17 | |||
| KR20140114308A | 2014-09-26 |
Attorney, Agent or Firm:
SUH, Hyun et al. (KR)
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