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Quantitative Analysis of Mid-face Correction Treatment using Automated Image Analysis
https://ipsj.ixsq.nii.ac.jp/records/217745
https://ipsj.ixsq.nii.ac.jp/records/21774592a616c7-a097-43fb-9bd2-09193b9286a0
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2022 by the Information Processing Society of Japan
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オープンアクセス |
Item type | Trans(1) | |||||||||||||||
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公開日 | 2022-04-15 | |||||||||||||||
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タイトル | Quantitative Analysis of Mid-face Correction Treatment using Automated Image Analysis | |||||||||||||||
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言語 | en | |||||||||||||||
タイトル | Quantitative Analysis of Mid-face Correction Treatment using Automated Image Analysis | |||||||||||||||
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言語 | eng | |||||||||||||||
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主題Scheme | Other | |||||||||||||||
主題 | [特集号投稿論文] jaw deformity, orthognathic surgery, soft tissues, image analysis, visualization, preventive medicine, quality of life, medical-engineering cooperation | |||||||||||||||
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資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||
資源タイプ | journal article | |||||||||||||||
著者所属 | ||||||||||||||||
Tokyo Polytechnic University | ||||||||||||||||
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Fukuoka College of Health Sciences | ||||||||||||||||
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Fukuoka Dental College | ||||||||||||||||
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Fukuoka Dental College | ||||||||||||||||
著者所属 | ||||||||||||||||
Fukuoka Dental College | ||||||||||||||||
著者所属(英) | ||||||||||||||||
en | ||||||||||||||||
Tokyo Polytechnic University | ||||||||||||||||
著者所属(英) | ||||||||||||||||
en | ||||||||||||||||
Fukuoka College of Health Sciences | ||||||||||||||||
著者所属(英) | ||||||||||||||||
en | ||||||||||||||||
Fukuoka Dental College | ||||||||||||||||
著者所属(英) | ||||||||||||||||
en | ||||||||||||||||
Fukuoka Dental College | ||||||||||||||||
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en | ||||||||||||||||
Fukuoka Dental College | ||||||||||||||||
著者名 |
Tsuyoshi, Moriyama
× Tsuyoshi, Moriyama
× Kiwako, Izumi
× Kei, Miyahara
× Koichiro, Kajiwara
× Mamoru, Sato
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著者名(英) |
Tsuyoshi, Moriyama
× Tsuyoshi, Moriyama
× Kiwako, Izumi
× Kei, Miyahara
× Koichiro, Kajiwara
× Mamoru, Sato
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論文抄録 | ||||||||||||||||
内容記述タイプ | Other | |||||||||||||||
内容記述 | Jaw deformity is a growth and developmental disorder that indicates malocclusion accompanied by deformity of the upper and lower jaw, which both oral and maxillofacial surgery concern. Planning and evaluation of orthognathic surgery have based on hard tissue such as jaw bones and teeth, because they were suitable for incorporating tomographic imaging technologies. But the changes in the soft tissues that cover the repositioned jaw bones and teeth vary among individuals and have been left to the empirical decisions of the surgeons. Possible problems in the facial appearance after surgery, however, throw even greater negative impact on the patients' quality of life. Soft tissues need more accurate treatment to be considered. Silhouettes of patients' profile faces used for evaluating soft tissues in the past do not necessarily show cheek bulges that are critical to considering the factor of personality. This research proposes a computer-assisted image analysis method that is capable of quantitatively measuring the effect of orthognathic surgery over soft tissues. It reads a cephalometric image of the patient's profile face before and after repositioning jaw bones by surgery, locates the cheek region, and measures both the amount and the direction of cheek due to changes of soft tissue. The first experiment quantified the results of orthognathic surgery in the cases of both mandible (lower jaw) deficiency (Class II) and maxilla (upper jaw) deficiency (Class III) and visualized the changes in both regions of cheek and mouth using the proposed method. The second experiment calculated the changes in both cheek and mouth regions and compared those averages over patients between two surgey conditions, i.e. one conducted genioplasty for chin reposition in maxilla adjustment for treating Class III and the other did not. The proposed method quantitatively clarified how the soft tissues of cheek and mouth changed after surgery when the maxilla had moved in the treatment and the result was consistent with what oral surgeons have recognized only by looking in the past. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.30(2022) (online) ------------------------------ |
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論文抄録(英) | ||||||||||||||||
内容記述タイプ | Other | |||||||||||||||
内容記述 | Jaw deformity is a growth and developmental disorder that indicates malocclusion accompanied by deformity of the upper and lower jaw, which both oral and maxillofacial surgery concern. Planning and evaluation of orthognathic surgery have based on hard tissue such as jaw bones and teeth, because they were suitable for incorporating tomographic imaging technologies. But the changes in the soft tissues that cover the repositioned jaw bones and teeth vary among individuals and have been left to the empirical decisions of the surgeons. Possible problems in the facial appearance after surgery, however, throw even greater negative impact on the patients' quality of life. Soft tissues need more accurate treatment to be considered. Silhouettes of patients' profile faces used for evaluating soft tissues in the past do not necessarily show cheek bulges that are critical to considering the factor of personality. This research proposes a computer-assisted image analysis method that is capable of quantitatively measuring the effect of orthognathic surgery over soft tissues. It reads a cephalometric image of the patient's profile face before and after repositioning jaw bones by surgery, locates the cheek region, and measures both the amount and the direction of cheek due to changes of soft tissue. The first experiment quantified the results of orthognathic surgery in the cases of both mandible (lower jaw) deficiency (Class II) and maxilla (upper jaw) deficiency (Class III) and visualized the changes in both regions of cheek and mouth using the proposed method. The second experiment calculated the changes in both cheek and mouth regions and compared those averages over patients between two surgey conditions, i.e. one conducted genioplasty for chin reposition in maxilla adjustment for treating Class III and the other did not. The proposed method quantitatively clarified how the soft tissues of cheek and mouth changed after surgery when the maxilla had moved in the treatment and the result was consistent with what oral surgeons have recognized only by looking in the past. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.30(2022) (online) ------------------------------ |
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収録物識別子タイプ | NCID | |||||||||||||||
収録物識別子 | AA12894091 | |||||||||||||||
書誌情報 |
情報処理学会論文誌デジタルプラクティス(TDP) 巻 3, 号 2, 発行日 2022-04-15 |
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収録物識別子タイプ | ISSN | |||||||||||||||
収録物識別子 | 2435-6484 | |||||||||||||||
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言語 | ja | |||||||||||||||
出版者 | 情報処理学会 |