{"title":"使用自动方法的面部形态学线性测量","authors":"Marijana Arapović-Savić, Mirjana Umićević-Davidović, Adriana Arbutina, Mihajlo Savić","doi":"10.1515/sdj-2016-0007","DOIUrl":null,"url":null,"abstract":"Abstract Introduction Clinical extraoral examination prior to orthodontic treatment includes face analysis (front and profile). Development of computer technology has increased efficacy and simplified this process through automating several steps of the analysis. The aim of this paper was to examine the possibility of automatic determining of linear measurements based on the facial image of a patient. Material and Methods Based on the set of 20 patients in NHP (Natural Head Position) position, three sets of measurements were conducted. Trained orthodontist performed positioning of predefined points on the image of the patient two times with one week apart, after which the points were automatically determined using customized computer software. Based on the position of the points, measurements for bizygomatic distance, upper and lower facial height and full facial height were computed. Three sets of measurements were compared and statistically analyzed. Results showed that computer software produced measurements comparable to measurements obtained by a trained orthodontist. Statistical analysis included calculating mean values and standard deviations, as well as paired two‑tailed T‑test. Differences between measurements ranged from 0.03% to 0.6% suggesting that automatic method can be successfully used. Conclusions The results of this research suggest that it is possible to ease, accelerate and automate work of the orthodontist on the image analysis using suitable software without significant differences in measured values.","PeriodicalId":52984,"journal":{"name":"Stomatoloski glasnik Srbije","volume":"413 1","pages":"66 - 73"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Linear measurements of facial morphology using automatic aproach\",\"authors\":\"Marijana Arapović-Savić, Mirjana Umićević-Davidović, Adriana Arbutina, Mihajlo Savić\",\"doi\":\"10.1515/sdj-2016-0007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Introduction Clinical extraoral examination prior to orthodontic treatment includes face analysis (front and profile). Development of computer technology has increased efficacy and simplified this process through automating several steps of the analysis. The aim of this paper was to examine the possibility of automatic determining of linear measurements based on the facial image of a patient. Material and Methods Based on the set of 20 patients in NHP (Natural Head Position) position, three sets of measurements were conducted. Trained orthodontist performed positioning of predefined points on the image of the patient two times with one week apart, after which the points were automatically determined using customized computer software. Based on the position of the points, measurements for bizygomatic distance, upper and lower facial height and full facial height were computed. Three sets of measurements were compared and statistically analyzed. Results showed that computer software produced measurements comparable to measurements obtained by a trained orthodontist. Statistical analysis included calculating mean values and standard deviations, as well as paired two‑tailed T‑test. Differences between measurements ranged from 0.03% to 0.6% suggesting that automatic method can be successfully used. Conclusions The results of this research suggest that it is possible to ease, accelerate and automate work of the orthodontist on the image analysis using suitable software without significant differences in measured values.\",\"PeriodicalId\":52984,\"journal\":{\"name\":\"Stomatoloski glasnik Srbije\",\"volume\":\"413 1\",\"pages\":\"66 - 73\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stomatoloski glasnik Srbije\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/sdj-2016-0007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stomatoloski glasnik Srbije","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/sdj-2016-0007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
正畸治疗前的临床口外检查包括面部分析(正面和侧面)。计算机技术的发展提高了效率,并通过自动化分析的几个步骤简化了这一过程。本文的目的是研究基于患者面部图像的线性测量自动确定的可能性。材料与方法对20例采用NHP (Natural Head Position)体位的患者进行三组测量。经过培训的正畸医生在患者图像上进行两次预定义点定位,间隔一周,然后使用定制的计算机软件自动确定点。根据点的位置,计算出颧骨距离、上下面部高度和全面部高度。对三组测量结果进行比较和统计分析。结果显示,计算机软件产生的测量结果与训练有素的正畸医生获得的测量结果相当。统计分析包括计算平均值和标准差,以及配对双尾T检验。测量值之间的差异范围为0.03%至0.6%,表明自动方法可以成功使用。结论本研究结果表明,使用合适的软件可以简化、加速和自动化正畸医师的图像分析工作,且测量值不会有显著差异。
Linear measurements of facial morphology using automatic aproach
Abstract Introduction Clinical extraoral examination prior to orthodontic treatment includes face analysis (front and profile). Development of computer technology has increased efficacy and simplified this process through automating several steps of the analysis. The aim of this paper was to examine the possibility of automatic determining of linear measurements based on the facial image of a patient. Material and Methods Based on the set of 20 patients in NHP (Natural Head Position) position, three sets of measurements were conducted. Trained orthodontist performed positioning of predefined points on the image of the patient two times with one week apart, after which the points were automatically determined using customized computer software. Based on the position of the points, measurements for bizygomatic distance, upper and lower facial height and full facial height were computed. Three sets of measurements were compared and statistically analyzed. Results showed that computer software produced measurements comparable to measurements obtained by a trained orthodontist. Statistical analysis included calculating mean values and standard deviations, as well as paired two‑tailed T‑test. Differences between measurements ranged from 0.03% to 0.6% suggesting that automatic method can be successfully used. Conclusions The results of this research suggest that it is possible to ease, accelerate and automate work of the orthodontist on the image analysis using suitable software without significant differences in measured values.