公开(公告)号：US20210275281A1

公开(公告)日：2021-09-09

申请号：US17315896

申请日：2021-05-10

Applicant: OSAKA UNIVERSITY

Inventor： Chihiro TANIKAWA ,  Kenji TAKADA

IPC: A61C7/00 ,  G16H30/40 ,  A61B34/10 ,  G16H50/50

Abstract: To have convenient and highly precise prediction of the shape of a human body after a treatment by calculation processing that includes extracting a feature vector Fnew from face data of a patient as an evaluation subject, selecting a plurality of case patients having feature vectors Fpre(i), extracted from the face data of a plurality of previous patients, obtaining pre-orthodontic facial shape models Hpre(i) and a post-orthodontic facial shape models Hpost(i) in which the faces of the selected previous case patients before and after a treatment have been normalized, obtaining a facial shape model Hnew, and obtaining a three-dimensional predicted facial shape model Hprd, by modifying the facial shape model Hnew of the patient as an evaluation subject, using a vector average difference AVEpost−AVEpre between the pre-treatment and post-treatment facial shape models.

公开(公告)号：US20180311013A1

公开(公告)日：2018-11-01

申请号：US15770461

申请日：2016-10-21

Applicant: OSAKA UNIVERSITY

Inventor： Chihiro TANIKAWA ,  Kenji TAKADA

IPC: A61C7/00 ,  G16H50/50 ,  A61B34/10

CPC classification number: A61C7/00

Abstract: To have convenient and highly precise prediction of the shape of a human body after a treatment by calculation processing.It includes a step of extracting a feature vector Fnew from face data of a patient as an evaluation subject, a step of selecting a plurality of case patients having feature vectors Fpre(i), extracted from the face data of a plurality of previous patients, that have a short distance from the feature vector Fnew, or a step of selecting a similar case class having a cluster center Gpre(l) that has a short distance from the feature vector Fnew, a step of obtaining pre-orthodontic facial shape models Hpre(i) and a post-orthodontic facial shape models Hpost(i) in which the faces of the selected previous case patients before and after a treatment have been normalized, a step of obtaining a facial shape model Hnew in which the face of the patient as an evaluation subject has been normalized, and a step of obtaining a three-dimensional predicted facial shape model Hprd as predicted after orthodontic treatment, by modifying the facial shape model Hnew of the patient as an evaluation subject, using a vector average difference AVEpost−AVEpre between the pre-treatment and post-treatment facial shape models of case patients having a facial shape similar to that of the patient as an evaluation subject.