Figures
Abstract
Objective
Developments in digital technology have permitted researchers to study mandibular movements. Here, the accuracy of a real-time, computerized, binocular, three-dimensional (3D) trajectory-tracking device for recording functional mandibular movements was evaluated.
Methods
An occlusal splint without the occlusal region was created based on a plaster cast of the lower dentition. The splint was rigidly connected with a target on its labial side and seated on the cast. The cast was then rigidly attached to the stage of a high-precision triaxial electronic translator, which was used to move the target-cast-stage complex. Half-circular movements (5.00-mm radius) in three planes (XOY, XOZ, YOZ) and linear movements along the x-axis were performed at 5.00 mm/s. All trajectory points were recorded with the binocular 3D trajectory-tracking device and fitted to arcs or lines, respectively, with the Imageware software. To analyze the accuracy of the trajectory-tracking device, the mean distances between the trajectory points and the fitted arcs or lines were measured, and the mean differences between the lengths of the fitted arcs’ radii and a set value (5.00 mm) were then calculated. A one-way analysis of variance was used to evaluate the spatial consistency of the recording accuracy in three different planes.
Results
The mean distances between the trajectory points and fitted arcs or lines were 0.076 ± 0.033 mm or 0.089 ± 0.014 mm. The mean difference between the lengths of the fitted arcs’ radii and the set value (5.00 mm) was 0.025 ± 0.071 mm. A one-way ANOVA showed that the recording errors in three different planes were not statistically significant.
Conclusion
These results suggest that the device can record certain movements at 5.00 mm/s, which is similar to the speed of functional mandibular movements. In addition, the recordings had an error of <0.1 mm and good spatial consistency. Thus, the device meets some of the requirements necessary for recording human mandibular movements.
Citation: Zhao T, Yang H, Sui H, Salvi SS, Wang Y, Sun Y (2016) Accuracy of a Real-Time, Computerized, Binocular, Three-Dimensional Trajectory-Tracking Device for Recording Functional Mandibular Movements. PLoS ONE 11(10): e0163934. https://doi.org/10.1371/journal.pone.0163934
Editor: Mikhail A. Lebedev, Duke University, UNITED STATES
Received: September 7, 2015; Accepted: August 26, 2016; Published: October 4, 2016
Copyright: © 2016 Zhao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper.
Funding: The study was supported by a grant from “Equipment Research and Development of Core Technology for Intraoral 3D Scanning” (2013AA040802) of the National High-tech R&D Program (863 Program), Chinese Ministry of Science and Technology (http://www.863.gov.cn/) to YCS, National Natural Science Foundation of China (http://www.nsfc.gov.cn/) Grant No. 81271181 to YCS and Scientific Research Foundation for Returned Overseas Chinese Scholars (2013), Peking University School of Stomatology: development of dentition 3D trajectories tracking device used for virtual articulators to YCS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The human mandible is an articulated bony structure that moves significantly during activities such as chewing, swallowing, and speaking. Research on such functional mandibular movements is complex and challenging, as key parameters such as the incisal and condylar guidance inclinations, two-dimensional (2D) measurements of border movements, and three-dimensional (3D) trajectory data must be accurately acquired [1]. Thanks to the development of new measurement and analysis techniques, 3D trajectory data can now be saved in text format and imported into virtual articular software to recreate individual mandibular movements. Information obtained from examining these movements can be used clinically to diagnose temporomandibular and masticatory muscle disorders and to help design functional occlusal morphology for dental restorations [2].
Traditionally, approximate mandibular movements are simulated by adjustable mechanical articulators. Cone-beam computed tomography (CT), dynamically enhanced magnetic resonance imaging, and trajectory tracking have been used to acquire individual mandibular trajectories [3], with the trajectory tracking technique being the most popular method. In these devices, the maxillary part is usually fixed to the bilateral external auditory canals and nasal bridge; however, since these structures are not rigid, uncontrollable errors can be generated by the relative motion of the maxillary region during mandibular movements. Further, the weight of the mandible itself can interfere with mandibular movements. Unfortunately, ensuring that the entire device can be appropriately attached to a human head with minimal weight is very complicated and expensive.
To overcome these issues, a real-time, computerized, binocular, 3D trajectory-tracking device (Peking University School and Hospital of Stomatology, China) was developed with a calibrated accuracy of approximately ±0.1 mm [4]. This device was designed to record typical border movements including protrusive, lateral, and opening movements, as well as habitual movements of the mandible during functions such as chewing and swallowing. The recording accuracy of the device was also evaluated in this study.
Methods
Ethics statement
This study, including the procedures for obtaining the plaster cast, was approved by the Bioethics Committee of Peking University School and Hospital of Stomatology, Beijing, China (No. PKUSSIRB-201412008; Date: 5/19/2014). In this study, the plaster cast we used was from a single human experimental subject. Written informed consent to publish these case details was obtained from this individual.
Cast and occlusal splint preparation
One patient (female, 25 years old) who was admitted to the Department of Prosthodontics at Peking University School and Hospital of Stomatology was enrolled in this study after providing written informed consent. In accordance with the requirements outlined in a prosthodontics textbook [5], a mandibular impression of the patient was obtained, and then plaster was poured into a standard cast base to prepare the plaster cast of the lower dentition. An occlusal splint was fabricated based on the plaster cast using 1-mm thick thermoplastic material (Erkodent Erich Kopp GmbH, Pfalzgrafenweiler, Germany), and its occlusal part was removed to prevent occlusion interference.
Setup of the experimental platform
A high-precision, three-axis, electronic translator (Beijing stand upright, Han Optical Instrument Co. Ltd, China, Beijing) was employed. In the coordinate system of the translator, its translation stage could be moved linearly along the x-, y-, and z-axes, as well as circularly in three coordinate planes (XOY, XOZ, and YOZ), to perform given movements (Fig 1) with an accuracy of 0.001 mm. Light-curing resin material (Megatray Base Plate, Megadenta Dental Products GmbH, Radeberg, Germany) was used to rigidly fix a specialized target to the labial region of the occlusal splint (Fig 1); then, the plaster cast was rigidly attached to the translation stage (Fig 2). The target consisted of a central black rectangle (32 × 23.5 mm) and four corner black squares (4 × 4 mm). Three spots on the target were selected for tracking the trajectories (Fig 1). The stage was centered (point O) and positioned to ensure all the given movements to be within the effective measuring area of the trajectory-tracking device [4].
The trajectories of three spots within the target were recorded using the computerized, binocular, 3D trajectory-tracking device.
The translation stage could move linearly along the x-, y-, and z-axes, as well as circularly in three planes (XOY, XOZ, and YOZ) with a recording accuracy of 0.001 mm.
Half-circular trajectory recordings and the related accuracy and spatial consistency evaluations
The translation stage was set in half-circular movement with a 5.00-mm radius at 5.00 mm/s in three coordinate planes (XOY, XOZ, YOZ), respectively, and the trajectories of the three target spots were recorded in real time; these movements and measurements were repeated five times (Fig 3). The recorded data is a series of coordinate points reflecting the trend of performed trajectories. Then the trajectory points were imported to the Imageware 13.2 software (Siemens PLM Software, Plano, Germany) (Fig 3) and fitted to arcs by approximating specific clouds to find the best fit with the “arc creation” tool. The lengths of the radii and the distance between each tracked trajectory point and the fitted arcs were measured with the “cloud deviation” tool; and the mean values were calculated to determine the accuracy. A one-way analysis of variance was used to evaluate the spatial consistency of the recording accuracy in three different planes.
Linear trajectory recordings and the related accuracy evaluations
To determine the accuracy of the device when recording linear movements, the translation stage was set to move at 5.00 mm/s, with a movement time of 1 s, along the x-axis; the movement and recording was repeated five times. The trajectory points were imported to Imageware (Fig 4) and fitted to straight lines with the “straight-line creation” tool. Finally, the mean distances between the tracked trajectory points and the fitted lines for the three target spots were measured with the above-mentioned method.
The linear trajectories of the three target spots in three directions were shown in white.
Results
Collectively, the mean difference between the length of the fitted arcs’ radii and the set value (5.00 mm) was 0.025 ± 0.071 mm; the mean distance between the trajectory points and the fitted arcs was 0.076 ± 0.033 mm (Table 1).
In the XOY, XOZ, and YOZ planes, the mean differences between the lengths of the fitted arcs’ radii and the set value (5.00 mm) were 0.001 ± 0.045 mm, 0.001 ± 0.039 mm, and 0.073 ± 0.093 mm, respectively. The P value of the one-way analysis of variance among the three planes is 0.948. The mean distances between the trajectory points and the fitted arcs for the three planes were 0.065 ± 0.021 mm, 0.094 ± 0.031 mm, and 0.068 ± 0.039 mm, respectively. The P value of the one-way analysis of variance among the three planes is 1.000. The one-way analysis of variance showed that the recording errors in the three different planes were not statistically significant (P >0.05).
The mean distance between the trajectory points and fitted lines was 0.089 ± 0.014 mm.
Discussion
By recording and examining the individual mandibular movement trajectory, important basic information about the movements can be collected, and such information may be useful for designing functional occlusions. Different restorations require different accuracies, and restorations supported by implantations require the highest level of accuracy. In this study, our objective was to evaluate the accuracy of a real-time, computerized, binocular, 3D trajectory-tracking device to determine its utility as an innovative tool for dental applications.
Mandibular movement is complicated, but it can be divided into some basic physical parts such as translational and rotational, or to say geometric parts such as rectilinear and circular motions. The present study utilized a high-precision three-axis electronic translator to perform these basic movements. By recording the basic movements with the computerized, binocular, 3D trajectory-tracking device and comparing them to a set value, we were able to calculate the recording accuracy of the device.
Collectively, the results revealed that the recording error was <0.1 mm. When measuring the lengths of the radii in each fitted arc, the largest error was found in the YOZ plane (~0.1 mm), while the errors in the other two planes were <0.001 mm. Since the movement of the electronic translation stage was sufficiently accurate (0.001 mm), and since the entire target-cast-stage complex was fixed to generate a single rigid entity, the observed errors are most likely related to the performance of the device itself. To a certain extent, the curved (arc) and linear trajectories in the three different coordinate planes reflect the 3D aspect of mandibular movement. Furthermore, an effective measuring area was set within the trajectory-tracking device to ensure that all of the mandibular border movements were recorded within this area.
Compared with other technologies mentioned in the introduction section, the trajectory-tracking device we developed had three major advantages. First, when recording human mandibular movements, the part that was fixed on the head (harder tissue) was more stable [4]. Second, the target that was connected to the lower dentition was light, thus there was less interference with the mandibular movements. Finally, the entire device was supported by the ground, thus a less expensive, larger, and simpler binocular visual system can be applied; on no case that all parts of the device were loaded on the subject.
The present study primarily quantitatively evaluated the accuracy of the computerized, binocular, mandibular 3D trajectory-tracking device itself. However, the main limitation of this device is that slight head movements can reduce the accuracy when recording mandibular movements. Further research should consider the effects of head movements by applying a head-fixing frame to the device.
Conclusion
Our results suggest that the real-time, computerized, binocular, 3D trajectory-tracking device can record given movements at 5.00 mm/s, which is similar to the speed of functional mandibular movements. Importantly, the error was <0.1 mm and the device had good spatial consistency. The accuracy of this device indicates that it meets some of the requirements necessary for recording human mandibular movements.
Supporting Information
S1 Table. Recording errors of the device.
This table cantains a summarized table and detailed data of recording errors.
https://doi.org/10.1371/journal.pone.0163934.s001
(XLSX)
Acknowledgments
The authors thank the engineer Yijiao Zhao for helping us with the 3D data. We also thank Hu Chen for helping us with the recording process for this experiment.
Author Contributions
- Conceptualization: YCS.
- Data curation: TZ HFY.
- Formal analysis: TZ YCS.
- Funding acquisition: YCS.
- Investigation: YW.
- Methodology: HXS.
- Project administration: YW YCS.
- Resources: HC.
- Software: HFY.
- Supervision: YW.
- Validation: YCS.
- Visualization: SSS.
- Writing – original draft: TZ.
- Writing – review & editing: TZ YCS.
References
- 1. Kim DS, Choi SC, Lee SS, Heo MS, Huh KH, Hwang SJ, et al. Correlation between 3-dimensional facial morphology and mandibular movement during maximum mouth opening and closing. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2010;110: 648–656. pmid:20955952
- 2. Santana-Mora U, López-Cedrún J, Mora MJ, Otero XL, Santana-Penín U. Temporomandibular disorders: the habitual chewing side syndrome. PLoS One. 2013; 8: e59980. pmid:23593156
- 3. Li L, Liu H, Cheng H, Han Y, Wang C, Chen Y, et al. CBCT evaluation of the upper airway morphological changes in growing patients of class II division 1 malocclusion with mandibular retrusion using twin block appliance: a comparative research. PLoS One. 2014;9: e94378. pmid:24705466
- 4. Yuan F, Sui H, Li Z, Yang H, Lü P, Wang Y, et al. A method of three-dimensional recording of mandibular movement based on two-dimensional image feature extraction. PLoS One. 2015;10: e0137507. 5. Jankelson B, Swain CW, Crane PF, Radke JC. Kinesiometric instrumentation: a new technology. J Am Dent Assoc. 1975;90: 834–840. pmid:26375800
- 5.
Feng HL, Xu J. Prosthodontics. Beijing: Peking University Medical Press; 2005. 7.