Integration accuracy of craniofacial cone-beam computed tomography images with three-dimensional facial scans according to different registration areas.

IF 3 2区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Angle Orthodontist Pub Date : 2023-01-01 DOI:10.2319/021422-135.1
Hussein Aljawad, Nara Kang, Kyungmin Clara Lee
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引用次数: 0

Abstract

Objectives: To evaluate the integration accuracy of cone-beam computed tomography (CBCT) images with three-dimensional (3D) facial scans according to different registration areas.

Materials and methods: Twenty-five patients (14 males and 11 females), with a mean age of 19.0 ± 11.3 years, were included in this study. Each patient underwent CBCT and facial scans on the same day in an upright position. The facial scans were integrated with the corresponding soft-tissue images of CBCT scans. Three methods were used to integrate the two imaging modalities based on the facial regions scanned: R1, only the forehead and nasal bridge area were included; R2, the right and left malar area were included; and R3, the forehead, nasal bridge, and malar areas were included. The integration accuracy between the facial scans and CBCT images was evaluated by color-mapping methods and average surface distances, calculated by measuring the 3D distances between the surface points on the two superimposed images.

Results: The average surface differences between facial scans and CBCT images were less than 1.0 mm in all three methods. The R3 method showed fewer differences between the facial scans and CBCT images than the other methods did.

Conclusions: Facial scans obtained using a low-cost facial scanner showed clinically acceptable performance. The integration accuracy of facial and CBCT scans can be increased by including the forehead, nasal bridge, and malar areas as registration areas.

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基于不同配准区域的颅面锥束计算机断层图像与三维面部扫描的积分精度。
目的:评价锥形束ct (cone-beam computed tomography, CBCT)图像与面部三维扫描图像在不同配准区域下的整合精度。材料与方法:25例患者(男14例,女11例),平均年龄19.0±11.3岁。每位患者均在同一天接受CBCT和面部扫描,并保持直立姿势。将面部扫描图像与CBCT扫描的相应软组织图像相结合。基于面部扫描区域,采用三种方法整合两种成像模式:R1,仅包括前额和鼻梁区域;R2,包括左右颧区;R3,前额,鼻梁和颧区也包括在内。通过颜色映射方法和平均表面距离来评估面部扫描图像与CBCT图像之间的整合精度,平均表面距离是通过测量两幅叠加图像表面点之间的三维距离来计算的。结果:三种方法的面部扫描与CBCT图像的平均表面差异均小于1.0 mm。R3方法显示面部扫描和CBCT图像之间的差异比其他方法要小。结论:使用低成本面部扫描仪获得的面部扫描显示临床可接受的性能。将前额、鼻梁和颧区作为配准区域,可以提高面部和CBCT扫描的整合精度。
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来源期刊
Angle Orthodontist
Angle Orthodontist 医学-牙科与口腔外科
CiteScore
6.40
自引率
5.90%
发文量
95
审稿时长
3 months
期刊介绍: The Angle Orthodontist is the official publication of the Edward H. Angle Society of Orthodontists and is published bimonthly in January, March, May, July, September and November by The EH Angle Education and Research Foundation Inc. The Angle Orthodontist is the only major journal in orthodontics with a non-commercial, non-profit publisher -- The E. H. Angle Education and Research Foundation. We value our freedom to operate exclusively in the best interests of our readers and authors. Our website www.angle.org is completely free and open to all visitors.
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