Three-dimensional Display System of Individual Mandibular Movement

Koseki, Michihiko; Niitsuma, Akira; Inou, Norio; Maki, Koutarou

doi:10.1007/978-4-431-30962-8_11

Cited by 6 publications

(10 citation statements)

References 3 publications

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“…Although this accuracy value is higher than the 0.198 mm reported by Fang and Kuo (2008) for their device [19] and greater than those published for the JMA ultrasonic system [20,42], the proposed method has the advantage of being much less obtrusive than these systems. When compared to other electromagnetic and optical techniques [8,14,43], including the previous 2D optical system described by Pinheiro et al (2011) [6], the proposed system has presented similar or better trueness and precision with the additional capability of supporting real-time assessment. Furthermore, the need to perform the calibration procedure for each new capture session in [6] does not occur in the current proposal.…”

Section: Discussionmentioning

confidence: 97%

“…According to Dworkin and LeResche (1992) [41], for example, lateral displacement of chin and lower jaw is of similar magnitude, as well as the chewing rhythm, which make the over skin marker a possibility when capturing these parameters. This non-invasive measuring system would enable a patient perform a masticatory movement under almost natural conditions [14]. …”

Section: Discussionmentioning

confidence: 99%

“…In this case, motion is captured by measuring the travel time of ultrasound impulses [14,20]. Similarly, some electromagnetic-based techniques, like the prototype system presented by Santos et al (2008) [1], use a facial arc with electromagnetic sensors to record appropriate kinematics.…”

Section: Introductionmentioning

confidence: 99%

“…Some authors have presented off-line techniques employing low-cost CCD cameras [5,6,9,14,19], while others have used commercial, high-end motion capture packs [17,22,23]. By using a single CCD camera and a reflective marker fixed to the mandible, Pinheiro et al (2011) [6] proposed a computational method for recording mandibular movements in a two-dimensional space.…”

Section: Introductionmentioning

confidence: 99%

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A specialized motion capture system for real-time analysis of mandibular movements using infrared cameras

et al. 2013

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BackgroundIn the last years, several methods and devices have been proposed to record the human mandibular movements, since they provide quantitative parameters that support the diagnosis and treatment of temporomandibular disorders. The techniques currently employed suffer from a number of drawbacks including high price, unnatural to use, lack of support for real-time analysis and mandibular movements recording as a pure rotation. In this paper, we propose a specialized optical motion capture system, which causes a minimum obstruction and can support 3D mandibular movement analysis in real-time.MethodsWe used three infrared cameras together with nine reflective markers that were placed at key points of the face. Some classical techniques are suggested to conduct the camera calibration and three-dimensional reconstruction and we propose some specialized algorithms to automatically recognize our set of markers and track them along a motion capture session.ResultsTo test the system, we developed a prototype software and performed a clinical experiment in a group of 22 subjects. They were instructed to execute several movements for the functional evaluation of the mandible while the system was employed to record them. The acquired parameters and the reconstructed trajectories were used to confirm the typical function of temporomandibular joint in some subjects and to highlight its abnormal behavior in others.ConclusionsThe proposed system is an alternative to the existing optical, mechanical, electromagnetic and ultrasonic-based methods, and intends to address some drawbacks of currently available solutions. Its main goal is to assist specialists in diagnostic and treatment of temporomandibular disorders, since simple visual inspection may not be sufficient for a precise assessment of temporomandibular joint and associated muscles.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A specialized motion capture system for real-time analysis of mandibular movements using infrared cameras

et al. 2013

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“…1,22 There are various methods to visualize threedimensional geometric data for virtual articulators, usually via surface scanning of dental casts 1,20 or obtaining two-dimensional image sets via CT or l-CT imaging and utilizing automatic segmentation. 9,12,26 The kinematic data is usually given by user defined movement parameters, as with mechanical articulators, or by computer generated occlusal paths based on functional mandibular movements. 16,18 However, tooth geometries are highly variable and therefore application of generic chewing trajectories or guiding algorithms cannot necessarily reconstruct individualistic functional and occlusal surfaces.…”

Section: Introductionmentioning

confidence: 99%

Automatically Generating Subject-specific Functional Tooth Surfaces Using Virtual Mastication

et al. 2009

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High-accuracy geometrical models of a subject's mandibular and maxillary teeth are combined with recordings of natural chewing trajectories of the same subject to obtain a subject-specific virtual model of mastication-the virtual masticator. The virtual masticator and a shape-optimization algorithm, which is based on removing collisions occurring between a generic maxillary tooth/teeth and the mandibular antagonists during mastication, is used to automatically reconstruct functional tooth surfaces. The process was tested using a chewing trajectory stemming from recordings made of an individual while eating elastic-type foods, a generic maxillary tooth, and the mandibular second molar of that individual. Comparing the obtained results with the actual tooth, the errors within the occlusal and functional regions of the the right second maxillary molar range between -90 and 200 mum and these errors do not change any more after three chewing cycles. These results indicate that a small number of chewing cycles is sufficient to remove occlusal interferences in the virtual tooth model. Such automatically reconstructed tooth surfaces can provide guidance during the design stage of dental fixed restorations manufactured using computer-aided design and manufacturing (CAD/CAM) systems and provide additional information for the design of dental implants or bridges.

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Accuracy of a Novel Virtual Articulator for Recording Three-Dimensional Dentition

Li¹,

Sun²,

Wang³

et al. 2020

Int J Prosthodont

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Three-dimensional Display System of Individual Mandibular Movement

Cited by 6 publications

References 3 publications

A specialized motion capture system for real-time analysis of mandibular movements using infrared cameras

A specialized motion capture system for real-time analysis of mandibular movements using infrared cameras

Automatically Generating Subject-specific Functional Tooth Surfaces Using Virtual Mastication

Accuracy of a Novel Virtual Articulator for Recording Three-Dimensional Dentition

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