Haptic AR Dental Simulator Using Z-buffer for Object Deformation

Onishi, K.; Mizushino, Kiminori; Noborio, Hiroshi; Koeda, Masanao

doi:10.1007/978-3-319-07446-7_33

Cited by 5 publications

(2 citation statements)

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“…AR technology has been introduced into research areas of dental implant [22][23][24][25][26], oral and maxillofacial surgery [14,[27][28][29], orthodontics [30] as well as dental education [31,32]. In previous work, introduction of AR has assisted clinicians by displaying and registering virtual models in the operating field thus reducing difficulty of hand-eye coordination.…”

Section: Related Workmentioning

confidence: 99%

Towards AR‐assisted visualisation and guidance for imaging of dental decay

Zhou

Yoo

Feng

et al. 2019

Healthcare Technology Letters

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Untreated dental decay is the most prevalent dental problem in the world, affecting up to 2.4 billion people and leading to a significant economic and social burden. Early detection can greatly mitigate irreversible effects of dental decay, avoiding the need for expensive restorative treatment that forever disrupts the enamel protective layer of teeth. However, two key challenges exist that make early decay management difficult: unreliable detection and lack of quantitative monitoring during treatment. New optically based imaging through the enamel provides the dentist a safe means to detect, locate, and monitor the healing process. This work explores the use of an augmented reality (AR) headset to improve the workflow of early decay therapy and monitoring. The proposed workflow includes two novel ARenabled features: (i) in situ visualisation of pre-operative optically based dental images and (ii) augmented guidance for repetitive imaging during therapy monitoring. The workflow is designed to minimise distraction, mitigate hand-eye coordination problems, and help guide monitoring of early decay during therapy in both clinical and mobile environments. The results from quantitative evaluations as well as a formative qualitative user study uncover the potentials of the proposed system and indicate that AR can serve as a promising tool in tooth decay management.

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Section: Related Workmentioning

confidence: 99%

Towards AR‐assisted visualisation and guidance for imaging of dental decay

Zhou

Yoo

Feng

et al. 2019

Healthcare Technology Letters

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“…From this embedding, for example, an artificial sense of touch is constructed with the Kelvin-Voigt model, and this can be experienced through a tactile feedback device. Further, the polyhedra can be rapidly transformed in response to the embedded region, and the concave region becomes visible (Noborio et al, 2013;Onishi et al, 2014;Onishi et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Comparison of GPU-based and CPU-based Algorithms for Determining the Minimum Distance between a CUSA Scalper and Blood Vessels

Noborio

Kunii²,

Mizushino³

2016

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

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In this study, we have designed a GPGPU (General-Purpose Graphics Processing Unit)-based algorithm for determining the minimum distance from the tip of a CUSA (Cavitron Ultrasonic Surgical Aspirator) scalpel to the closest point around three types of blood vessel STLs (STereo-Lithographies). The algorithm consists of the following two functions: First, we use z-buffering (depth buffering) as the classic matured function of the GPU in order to effectively obtain depths corresponding to image pixels. Second, we use multiple cores of the GPU for parallel processing so as to calculate the minimum Euclidean distance from the scalpel tip to the closest z-values of the depths. Therefore, the complexity of the GPU-based algorithm does not depend on the shape complexity (e.g., patch, edge, and vertex numbers) of the blood vessels.

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