專利授權區國立清華大學國際產學營運總中心 Operations Center for Industry Collaboration

搜尋專利授權區

關鍵字

» 新增關鍵字

選單

專利授權區

專利授權區
專利名稱(中)	基於人工智慧之頭型歪斜程度評估方法
專利名稱(英)	Evaluation method of craniofacial asymmetry index based on artificial intelligence
專利家族	中華民國：I847856 美國：US 12,579,673
專利權人	長庚醫療財團法人林口長庚紀念醫院 60.00% ,國立清華大學 40.00%
發明人	周邦昀,李昌駿,余聲宏,葉德儀
技術領域	生化醫藥,機械結構

專利摘要(中)
本創作關於一種基於人工智慧之頭型歪斜程度評估方法，包括一顱顏影像拍攝步驟：獲得一患者的一顱顏模型檔案；一人工智慧頭型分辨與特徵點標記步驟：將該顱顏模型檔案導入一人工智慧演算法，對該顱顏模型檔案中的一顱顏影像進行分辨與特徵點標記產生至少一特徵點；一顱顏空間座標軸建立步驟：包括一座標軸y-z平面建立步驟、一座標軸原點建立步驟以及一定義z軸方位步驟；以及一人工智慧歪斜程度估算步驟：同時將該顱顏模型檔案與相對應的座標軸輸入到一人工智慧歪斜程度評估演算法中，將顱顏的歪斜程度以數據可視化的方式呈現。

專利摘要(中)

本創作關於一種基於人工智慧之頭型歪斜程度評估方法，包括一顱顏影像拍攝步驟：獲得一患者的一顱顏模型檔案；一人工智慧頭型分辨與特徵點標記步驟：將該顱顏模型檔案導入一人工智慧演算法，對該顱顏模型檔案中的一顱顏影像進行分辨與特徵點標記產生至少一特徵點；一顱顏空間座標軸建立步驟：包括一座標軸y-z平面建立步驟、一座標軸原點建立步驟以及一定義z軸方位步驟；以及一人工智慧歪斜程度估算步驟：同時將該顱顏模型檔案與相對應的座標軸輸入到一人工智慧歪斜程度評估演算法中，將顱顏的歪斜程度以數據可視化的方式呈現。

專利摘要(英)
An evaluation method of craniofacial asymmetry index based on artificial intelligence is disclosed and includes: a craniofacial image shooting step: obtaining a craniofacial model file of a patient; an artificial intelligence head shape identification and feature point marking step: importing the craniofacial model file into an artificial intelligence algorithm, performing identification and feature point marking on a craniofacial image in the craniofacial model file to generate at least one feature point; a craniofacial space coordinate axis establishment step: including a coordinate axis y-z plane establishment step, a coordinate axis origin establishment step and a z-axis orientation definition step; and an artificial intelligence skew degree estimation step: inputting the craniofacial model file and corresponding coordinate axes into an artificial intelligence skew degree evaluation algorithm simultaneously, and presenting a craniofacial skew degree in a data visualization manner.

專利摘要(英)

An evaluation method of craniofacial asymmetry index based on artificial intelligence is disclosed and includes: a craniofacial image shooting step: obtaining a craniofacial model file of a patient; an artificial intelligence head shape identification and feature point marking step: importing the craniofacial model file into an artificial intelligence algorithm, performing identification and feature point marking on a craniofacial image in the craniofacial model file to generate at least one feature point; a craniofacial space coordinate axis establishment step: including a coordinate axis y-z plane establishment step, a coordinate axis origin establishment step and a z-axis orientation definition step; and an artificial intelligence skew degree estimation step: inputting the craniofacial model file and corresponding coordinate axes into an artificial intelligence skew degree evaluation algorithm simultaneously, and presenting a craniofacial skew degree in a data visualization manner.

聯絡資訊
承辦人姓名	楊慧敏
承辦人電話	(03)571-5131 #31181
承辦人Email	hmyang@mx.nthu.edu.tw