Clinical Tooth Color Matching: In Vivo Comparisons of Digital Photocolorimetric and Spectrophotometric Analyses

Adobe photoshop软件 色差 色空间 颜色分析 显著性差异 数学 牙科 软件 人工智能 计算机科学 医学 统计 图像(数学) GSM演进的增强数据速率 程序设计语言
作者
Analúcia Philippi,Gabriela Panca Sabatini,Marta Freitas,Silva Oshima,RN Tango,Thaís Marques Simek Vega Gonçalves
出处
期刊:Operative Dentistry [Indiana University School of Dentistry]
卷期号:48 (5): 490-499 被引量:1
标识
DOI:10.2341/22-079-c
摘要

SUMMARY Objective This study aimed to compare the tooth color matching of two dental colorimetric methods: the spectrophotometric analysis (SPM) and the standardized digital photocolorimetric analysis (DPC). Methods The color of 60 maxillary central incisors of 30 volunteers (22.5 ± 7.6 years) was analyzed. In the DPC method, tooth photographs were standardized with the eLABor_aid protocol, processed with Adobe Photoshop Lightroom software, and the values of L*, a*, and b* were obtained with a Digital Color Meter software. For the SPM, L*, a*, and b* were measured directly with a handheld spectrophotometer. Data were submitted to paired t-test and Pearson correlation test (α=0.05). Mean color difference between the two methods was calculated with CIELAB formula. Results All color coordinates revealed different values when comparing DPC to SPM in the same tooth (p<0.0001). Mean color difference (ΔEab) between SPM and DPC was 11.5 ±3.1. A positive correlation was observed for L* (R2=0.73,p<0.0001), a* (R2=0.31, p=0.017), and b* (R2=0.83, p<0.0001). Conclusions Even though the color coordinate values were different in both methods, they were correlated, revealing that the DPC is a viable alternative to determine the tooth color matching.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
阿宛发布了新的文献求助10
刚刚
1秒前
12关闭了12文献求助
1秒前
沐易发布了新的文献求助10
1秒前
lx完成签到 ,获得积分10
1秒前
2秒前
科研通AI6.2应助zzz采纳,获得10
2秒前
wanci应助蓝精灵采纳,获得10
2秒前
忧伤的白秋完成签到,获得积分10
2秒前
Anoodleatlarge完成签到 ,获得积分10
2秒前
天真的保温杯完成签到,获得积分10
2秒前
烟花应助renrunxue采纳,获得10
2秒前
乐乐应助Moislad采纳,获得10
3秒前
学习发布了新的文献求助10
3秒前
二智娃娃发布了新的文献求助10
3秒前
无极微光应助独特浩然采纳,获得20
4秒前
华仔应助爱撒娇的西装采纳,获得10
5秒前
苹果雁桃完成签到,获得积分20
6秒前
6秒前
李健应助CHEN采纳,获得10
7秒前
7秒前
研友_VZG7GZ应助忧伤的白秋采纳,获得10
7秒前
情怀应助饱胀采纳,获得10
7秒前
Hello应助冰月雪蝶采纳,获得10
7秒前
8秒前
xiaolizi应助我独舞采纳,获得10
9秒前
caigou发布了新的文献求助10
9秒前
xxxy应助木南采纳,获得10
10秒前
10秒前
朱加德完成签到,获得积分10
10秒前
11秒前
泽雾川完成签到,获得积分10
11秒前
顾矜应助橙子采纳,获得10
12秒前
12秒前
12秒前
李爱国应助木头采纳,获得10
12秒前
领导范儿应助wsq采纳,获得10
13秒前
墨酒子发布了新的文献求助10
13秒前
小白小王完成签到,获得积分10
14秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6010528
求助须知:如何正确求助?哪些是违规求助? 7555689
关于积分的说明 16133878
捐赠科研通 5157150
什么是DOI,文献DOI怎么找? 2762232
邀请新用户注册赠送积分活动 1740857
关于科研通互助平台的介绍 1633443