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A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback

Advancements in virtual reality (VR) and haptic technology are transforming the landscape of medical and dental education, offering new avenues for safe, immersive, and repeatable training experiences. Within dentistry, endodontics presents unique challenges for preclinical education due to anatomic...

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Main Author: Abo El Ela, Yousef Salah
Format: Thesis
Published: AUC Knowledge Fountain 2026
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access_status_str Open Access
author Abo El Ela, Yousef Salah
author_browse Abo El Ela, Yousef Salah
author_facet Abo El Ela, Yousef Salah
author_sort Abo El Ela, Yousef Salah
collection Thesis
description Advancements in virtual reality (VR) and haptic technology are transforming the landscape of medical and dental education, offering new avenues for safe, immersive, and repeatable training experiences. Within dentistry, endodontics presents unique challenges for preclinical education due to anatomical complexity, limited access to extracted teeth, ethical concerns, and the shortcomings of conventional plastic models. Despite endodontics specific plastic teeth being available, they fall short of replicating the hardness of real extracted teeth, are relatively costly compared to generic plastic teeth, and are ultimately a disposable item which makes them inadequate as a sustainable long-term solution. Extracted teeth do a much better job in terms of drilling sensation, although there exist ethical and hygienic concerns around the practice of reusing extracted teeth for preclinical training. Moreover, extracted teeth usually are in short supply and with limited variability in terms of anatomy and mostly diminished structure. This thesis addresses these issues through the development of a VR-based dental simulator focused on endodontic access cavity preparation, delivering both authentic anatomical modeling and automated, objective feedback. The system integrates detailed tooth anatomy segmented from Cone Beam Computed Tomography (CBCT) scans, real-time mesh deformation via a voxelization and marching cubes workflow, and a haptic feedback device to recreate the tactile sensations essential for dental procedures. Performance optimization strategies, such as mesh chunking, lightmapping, and dynamic input options, ensure smooth, immersive experiences adaptable to users’ needs and hardware variations. The simulator’s standout feature is its automated formative feedback mechanism, which compares student performance voxel-by voxel to expert benchmarks, generating both numerical scores and location-specific, descriptive comments that promote self-guided skill improvement. User studies involving undergraduate dental students, most new to VR, demonstrated high engagement and perceived value, particularly in terms of independence, realism, and clarity of assessment. Areas for further development, such as enhanced anatomical detail and differentiated tactile response, were also identified through structured questionnaires and open-ended feedback. Through the questionnaire, the students rated the user friendliness of the simulator at 3.69/4.00, the visual and auditorial accuracies and immersion at 2.70/4.00, the haptics and tactile feel at 2.28/4.00, the scoring feedback and presentation at 3.56/4.00, and lastly their perception of its long-term effectiveness in skill acquisition at 3.17/4.00. The findings support the viability and significant benefits of immersive, automated VR simulators in dental education and their potential to enable objective, scalable, and resource-efficient training.
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id oai:fount.aucegypt.edu:etds-3653
institution American University in Cairo (Egypt)
last_indexed 2026-06-10T12:35:59.828Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from AUC Knowledge Fountain — bepress
publishDate 2026
publishDateRange 2026
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spelling oai:fount.aucegypt.edu:etds-3653 A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback Abo El Ela, Yousef Salah Advancements in virtual reality (VR) and haptic technology are transforming the landscape of medical and dental education, offering new avenues for safe, immersive, and repeatable training experiences. Within dentistry, endodontics presents unique challenges for preclinical education due to anatomical complexity, limited access to extracted teeth, ethical concerns, and the shortcomings of conventional plastic models. Despite endodontics specific plastic teeth being available, they fall short of replicating the hardness of real extracted teeth, are relatively costly compared to generic plastic teeth, and are ultimately a disposable item which makes them inadequate as a sustainable long-term solution. Extracted teeth do a much better job in terms of drilling sensation, although there exist ethical and hygienic concerns around the practice of reusing extracted teeth for preclinical training. Moreover, extracted teeth usually are in short supply and with limited variability in terms of anatomy and mostly diminished structure. This thesis addresses these issues through the development of a VR-based dental simulator focused on endodontic access cavity preparation, delivering both authentic anatomical modeling and automated, objective feedback. The system integrates detailed tooth anatomy segmented from Cone Beam Computed Tomography (CBCT) scans, real-time mesh deformation via a voxelization and marching cubes workflow, and a haptic feedback device to recreate the tactile sensations essential for dental procedures. Performance optimization strategies, such as mesh chunking, lightmapping, and dynamic input options, ensure smooth, immersive experiences adaptable to users’ needs and hardware variations. The simulator’s standout feature is its automated formative feedback mechanism, which compares student performance voxel-by voxel to expert benchmarks, generating both numerical scores and location-specific, descriptive comments that promote self-guided skill improvement. User studies involving undergraduate dental students, most new to VR, demonstrated high engagement and perceived value, particularly in terms of independence, realism, and clarity of assessment. Areas for further development, such as enhanced anatomical detail and differentiated tactile response, were also identified through structured questionnaires and open-ended feedback. Through the questionnaire, the students rated the user friendliness of the simulator at 3.69/4.00, the visual and auditorial accuracies and immersion at 2.70/4.00, the haptics and tactile feel at 2.28/4.00, the scoring feedback and presentation at 3.56/4.00, and lastly their perception of its long-term effectiveness in skill acquisition at 3.17/4.00. The findings support the viability and significant benefits of immersive, automated VR simulators in dental education and their potential to enable objective, scalable, and resource-efficient training. 2026-01-31T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/2610 https://fount.aucegypt.edu/context/etds/article/3653/viewcontent/Yousef_Abo_El_Ela___MSc._Thesis_Final.pdf https://fount.aucegypt.edu/context/etds/article/3653/filename/3/type/additional/viewcontent/Demo___HB_Quality___Trim.mp4 Theses and Dissertations AUC Knowledge Fountain VR Simulation Dentistry Endodontics Unity Game Development Image Segmentation Haptics Education Formative Feedback Biomedical Engineering and Bioengineering Computational Engineering Computer-Aided Engineering and Design Computer Sciences Dentistry Development Studies Education Educational Methods Endodontics and Endodontology Engineering Graphics and Human Computer Interfaces Medicine and Health Sciences Numerical Analysis and Scientific Computing Programming Languages and Compilers Science and Technology Studies Software Engineering Theory and Algorithms
spellingShingle VR
Simulation
Dentistry
Endodontics
Unity
Game Development
Image Segmentation
Haptics
Education
Formative Feedback
Biomedical Engineering and Bioengineering
Computational Engineering
Computer-Aided Engineering and Design
Computer Sciences
Dentistry
Development Studies
Education
Educational Methods
Endodontics and Endodontology
Engineering
Graphics and Human Computer Interfaces
Medicine and Health Sciences
Numerical Analysis and Scientific Computing
Programming Languages and Compilers
Science and Technology Studies
Software Engineering
Theory and Algorithms
Abo El Ela, Yousef Salah
A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback
title A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback
title_full A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback
title_fullStr A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback
title_full_unstemmed A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback
title_short A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback
title_sort virtual reality based dental simulator for endodontics with automated formative feedback
topic VR
Simulation
Dentistry
Endodontics
Unity
Game Development
Image Segmentation
Haptics
Education
Formative Feedback
Biomedical Engineering and Bioengineering
Computational Engineering
Computer-Aided Engineering and Design
Computer Sciences
Dentistry
Development Studies
Education
Educational Methods
Endodontics and Endodontology
Engineering
Graphics and Human Computer Interfaces
Medicine and Health Sciences
Numerical Analysis and Scientific Computing
Programming Languages and Compilers
Science and Technology Studies
Software Engineering
Theory and Algorithms
url https://fount.aucegypt.edu/etds/2610
https://fount.aucegypt.edu/context/etds/article/3653/viewcontent/Yousef_Abo_El_Ela___MSc._Thesis_Final.pdf
https://fount.aucegypt.edu/context/etds/article/3653/filename/3/type/additional/viewcontent/Demo___HB_Quality___Trim.mp4
work_keys_str_mv AT aboelelayousefsalah avirtualrealitybaseddentalsimulatorforendodonticswithautomatedformativefeedback
AT aboelelayousefsalah virtualrealitybaseddentalsimulatorforendodonticswithautomatedformativefeedback