Comparison of the Accuracy of Image Registration Methods for Merging Optical Scan and Radiographic Data in Edentulous Jaws

Woo, Hyun‐Wook; Mai, Hang‐Nga; Lee, Du‐Hyeong

doi:10.1111/jopr.13216

Cited by 9 publications

(4 citation statements)

References 27 publications

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“…A prerequisite for a 3D comparative study was the reliable registration method of 3D models (also named alignment, registration, superimposed, or overlapped) [3,4,5,9,10]. Registration is also an indispensable tool for digital clinical dentistry of edentulous jaws [11,12], such as transferring jaw relations in digital complete dentures, aligning jaw relation records with impressions, and aligning radiographic templates with CBCT in preoperative implant design [13,14,15,16]. There are three main recorded model registration methods in the literature: Scanner's own software, such as 3Shape, which performs alignment by manually selecting three points and calculating internally [5]; Reverse engineering software, in which the most widely used registration method is the best t alignment tool [ 2,3,6,7], which is also recommended for model alignment in reverse engineering software for product quality analysis; and When Chen Sihan et al studied the accuracy of intraoral scanning of complete dentition, they used the manual registration command rst and then the global registration command for model alignment in reverse engineering software [8].…”

Section: Discussionmentioning

confidence: 99%

Comparison of the Accuracy of the Image Registration Methods for the impressions of edentulous jaws

Liu,

Li,

2024

Preprint

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Objective In medical image research, such as the comparison before and after treatment, the comparison of different treatment methods, etc., correct registration is the prerequisite for the reliability of image deviation research results, and the best fitting alignment is a common method, but whether there are application conditions or application techniques is rarely reported in the literature.The aim of present study was to investigate the accuracy of two registration methods, best fit alignment and manual multi-point alignment followed by global registration, used in edentulous jaw impressions. Materials and Methods Traditional complete denture impressions were taken via two methods: open-mouth and closed-mouth methods. The edentulous impression models, including maxilla:14 pairs and mandible:12 pairs, were scanned in the model scanner and saved in STL format. In the reverse engineering software Geomagic Control 2014, two registration methods, namely, best fit alignment and manual multi-point alignment combined with global registration, were used independently to align the open-mouth and closed-mouth impressions of the same patient, and the 3-dimensional (3D) deviation between the reference and test models was recorded. SPSS26.0, paired t test, significance criterion two-sided α = 0.05. Results The nominal value threshold was less common in the best fit alignment group (maxilla 48.58%, mandible 44.16%) than in the manual + global registration group (maxilla 70.55%, mandible 66.27%), maxilla P = 0.000 < 0.05, mandible P = 0.014 < 0.05. The root mean square (RMS), average positive deviation and average negative deviation of the best-fit alignment group were greater than those of the manual + global registration group, there were significant differences in the maxillary (P < 0.05), but not significant difference in the mandibular (P > 0.05). Conclusion The manual multi-point combined global registration method is more accurate than the best fitting alignment used in the registration of edentulous jaw impressions and is more effective for the maxilla.

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Section: Discussionmentioning

confidence: 99%

Comparison of the Accuracy of the Image Registration Methods for the impressions of edentulous jaws

Liu,

Li,

2024

Preprint

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“…It is found that the measured values of CBCT are significantly lower than those of the model scanner and IOS ( P < 0.001). Other scholars [ 27 ] studied the influence of registration conditions of optical scanning images and radiation images on the accuracy and found that the accuracy based on full-surface registration is higher than that based on the local matching. In the study of the implant systems and guide design software, Ashtiani et al [ 28 ] reviewed the deviations of 6 kinds of guide design software, among which 3Shape shows smaller mean angle deviation, coronal deviation, and apical deviation.…”

Section: Discussionmentioning

confidence: 99%

Investigation on the application of digital guide templates guided dental implantation in China

Chen

2023

BMC Oral Health

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Background The aim of this survey is to investigate the application of digital guide templates (DGTs) across China, and the views and attitudes of oral health professionals toward them. Methods This survey was prepared, distributed, and collected by WJX. Chinese oral health professionals were invited to participate in it. The basic information of respondents, the application of DGTs, and the views and attitudes toward their status quo and development were statistically described. Chi-square test was used to evaluate the correlation between the basic information of respondents and the application of DGTs as well as the views and attitudes toward them. Results A total of 276 questionnaires were collected, of which 273 were identified as valid. 269 (98.5%) respondents were dental clinical workers, 204 (74.7%) were dental clinical implant workers, and 152 (55.7%) had been engaged in the implant industry for more than five years. The chi-square test showed that working years were significantly correlated with the half-guided, tooth-supported, and mucosa-supported DGTs (P < 0.05); and professional backgrounds and working years presented significant differences in the views and attitudes toward the status quo and development of DGTs (P < 0.05). The questionnaires also made a preliminary investigation and evaluation on the factors influencing accuracy, indications, doctors’ recommendations and relevant training. Conclusion Most respondents held a positive attitude toward the accuracy and development of DGTs. This survey can point out the direction for the improvement of DGTs, and provide a reference for the study of factors affecting implant accuracy, the establishment of a training system, and the understanding of clinicians’ current views on DGTs. Trial registration This survey was approved by the Ethics Review Committee of Chenghuaxinguanghua Dental Clinic (Approval NO. CDCIRB-D-2021-201).

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“…Critically, the original image quality of CBCT could profoundly affect the result of the best-fit algorithm process. Indistinctive radiographic images can lead to a poor result of the registration [22]. Flügge et al used CBCT data and intraoral surface scans of 36 patients to examine the influence of the operator, the preprocessing of data, and image artifacts on registration accuracy [19].…”

Section: Discussionmentioning

confidence: 99%

Comparison of Dental Surface Image Registration and Fiducial Marker Registration: An In Vivo Accuracy Study of Static Computer-Assisted Implant Surgery

Han¹,

Lin

Fan

et al. 2021

JCM

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This study compared the accuracy of static computer-assisted implant surgery (sCAIS) planned through dental surface image registration and fiducial marker registration. Stone models of 30 patients were converted into digital dental casts by using a desktop scanner. Cone-beam computed tomography (CBCT) was performed and superimposed to the digital dental casts with two methods: matching the dental surface images or matching the fiducial markers on a stereolithographic radiographic template. Following the implant planning, stereolithographic surgical guides were fabricated, and 56 fully guided implants were inserted by the same doctor. Deviations between planned and inserted implants were measured and compared using postoperative CBCT images. After adjustment for other potential influencing factors, compared with the fiducial marker registration group, significantly larger mean lateral deviations were noted in the dental surface registration group at both the implant platform and apex (p = 0.0188 and 0.0371, respectively). However, the mean lateral deviations for the dental surface registration (0.83 ± 0.51 mm at implant platform and 1.24 ± 0.68 mm at implant apex) were comparable to the literature. In conclusion, our findings indicate that although sCAIS planned using dental surface image registration was not statistically as accurate as that using fiducial marker registration, its accuracy was satisfactory for clinical use.

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Comparison of the Accuracy of Image Registration Methods for Merging Optical Scan and Radiographic Data in Edentulous Jaws

Cited by 9 publications

References 27 publications

Comparison of the Accuracy of the Image Registration Methods for the impressions of edentulous jaws

Comparison of the Accuracy of the Image Registration Methods for the impressions of edentulous jaws

Investigation on the application of digital guide templates guided dental implantation in China

Comparison of Dental Surface Image Registration and Fiducial Marker Registration: An In Vivo Accuracy Study of Static Computer-Assisted Implant Surgery

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