Miaosheng Guan , Xiaoyu Wang , Xue Li , Yaqi Wang , Kun Yan , Ran Huo , Tao Song , Lin Liu , Hongbo Li
{"title":"结构光扫描探针配置对微笑状态下颌面部区域三维扫描精度的影响:体外研究","authors":"Miaosheng Guan , Xiaoyu Wang , Xue Li , Yaqi Wang , Kun Yan , Ran Huo , Tao Song , Lin Liu , Hongbo Li","doi":"10.1016/j.ymeth.2025.05.006","DOIUrl":null,"url":null,"abstract":"<div><div>Currently, single-unit, dual-unit, and triple-unit structured light 3D scanning technologies have become the predominant facial scanning methods. However, the impact of different unit strategies on facial scanning accuracy remains unclear. A standardized 3D facial model in a smiling state was established. Key point reference coordinates and 3D data were obtained using a coordinate measurement instrument and an industrial-grade laser 3D scanner. Three structured light scanning techniques (single-, dual-, triple-unit) were utilized to capture the 3D information of the model. Linear distance deviations and 3D surface deviations (trueness and precision) of the three scanning strategies were compared. The triple-unit scanning strategy exhibited the lowest deviation among 20 trueness indicators and 22 precision indicators for linear distance measurements (P < 0.05). Furthermore, the accuracy of the triple-unit strategy (trueness: 0.1607 ± 0.0201 mm, precision: 0.0161 ± 0.0112 mm) for overall facial scanning was significantly lower than that of the single-unit and dual-unit strategies, particularly in critical regions for oral and maxillofacial aesthetic analysis, such as the orbital, nasal, and perioral regions. The triple-unit structured light scanning strategy significantly enhances the accuracy of facial 3D scanning, particularly when acquiring 3D facial information from the midline and perioral regions. This in vitro study demonstrates that the triple-unit structured light 3D scanning strategy effectively improves the accuracy of facial scanning, especially in the oral-maxillofacial aesthetic regions. This approach provides a foundation and support for both preoperative planning and postoperative evaluation of aesthetic restoration.</div></div>","PeriodicalId":390,"journal":{"name":"Methods","volume":"241 ","pages":"Pages 43-50"},"PeriodicalIF":4.2000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The influence of structured light scanning probe configuration on the 3D scanning accuracy of the maxillofacial region in a smiling state: An in vitro study\",\"authors\":\"Miaosheng Guan , Xiaoyu Wang , Xue Li , Yaqi Wang , Kun Yan , Ran Huo , Tao Song , Lin Liu , Hongbo Li\",\"doi\":\"10.1016/j.ymeth.2025.05.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Currently, single-unit, dual-unit, and triple-unit structured light 3D scanning technologies have become the predominant facial scanning methods. However, the impact of different unit strategies on facial scanning accuracy remains unclear. A standardized 3D facial model in a smiling state was established. Key point reference coordinates and 3D data were obtained using a coordinate measurement instrument and an industrial-grade laser 3D scanner. Three structured light scanning techniques (single-, dual-, triple-unit) were utilized to capture the 3D information of the model. Linear distance deviations and 3D surface deviations (trueness and precision) of the three scanning strategies were compared. The triple-unit scanning strategy exhibited the lowest deviation among 20 trueness indicators and 22 precision indicators for linear distance measurements (P < 0.05). Furthermore, the accuracy of the triple-unit strategy (trueness: 0.1607 ± 0.0201 mm, precision: 0.0161 ± 0.0112 mm) for overall facial scanning was significantly lower than that of the single-unit and dual-unit strategies, particularly in critical regions for oral and maxillofacial aesthetic analysis, such as the orbital, nasal, and perioral regions. The triple-unit structured light scanning strategy significantly enhances the accuracy of facial 3D scanning, particularly when acquiring 3D facial information from the midline and perioral regions. This in vitro study demonstrates that the triple-unit structured light 3D scanning strategy effectively improves the accuracy of facial scanning, especially in the oral-maxillofacial aesthetic regions. This approach provides a foundation and support for both preoperative planning and postoperative evaluation of aesthetic restoration.</div></div>\",\"PeriodicalId\":390,\"journal\":{\"name\":\"Methods\",\"volume\":\"241 \",\"pages\":\"Pages 43-50\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Methods\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1046202325001203\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1046202325001203","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
The influence of structured light scanning probe configuration on the 3D scanning accuracy of the maxillofacial region in a smiling state: An in vitro study
Currently, single-unit, dual-unit, and triple-unit structured light 3D scanning technologies have become the predominant facial scanning methods. However, the impact of different unit strategies on facial scanning accuracy remains unclear. A standardized 3D facial model in a smiling state was established. Key point reference coordinates and 3D data were obtained using a coordinate measurement instrument and an industrial-grade laser 3D scanner. Three structured light scanning techniques (single-, dual-, triple-unit) were utilized to capture the 3D information of the model. Linear distance deviations and 3D surface deviations (trueness and precision) of the three scanning strategies were compared. The triple-unit scanning strategy exhibited the lowest deviation among 20 trueness indicators and 22 precision indicators for linear distance measurements (P < 0.05). Furthermore, the accuracy of the triple-unit strategy (trueness: 0.1607 ± 0.0201 mm, precision: 0.0161 ± 0.0112 mm) for overall facial scanning was significantly lower than that of the single-unit and dual-unit strategies, particularly in critical regions for oral and maxillofacial aesthetic analysis, such as the orbital, nasal, and perioral regions. The triple-unit structured light scanning strategy significantly enhances the accuracy of facial 3D scanning, particularly when acquiring 3D facial information from the midline and perioral regions. This in vitro study demonstrates that the triple-unit structured light 3D scanning strategy effectively improves the accuracy of facial scanning, especially in the oral-maxillofacial aesthetic regions. This approach provides a foundation and support for both preoperative planning and postoperative evaluation of aesthetic restoration.
期刊介绍:
Methods focuses on rapidly developing techniques in the experimental biological and medical sciences.
Each topical issue, organized by a guest editor who is an expert in the area covered, consists solely of invited quality articles by specialist authors, many of them reviews. Issues are devoted to specific technical approaches with emphasis on clear detailed descriptions of protocols that allow them to be reproduced easily. The background information provided enables researchers to understand the principles underlying the methods; other helpful sections include comparisons of alternative methods giving the advantages and disadvantages of particular methods, guidance on avoiding potential pitfalls, and suggestions for troubleshooting.