Please use this identifier to cite or link to this item: https://doi.org/10.1115/DETC2011-47019
DC FieldValue
dc.titleGPU-based haptic simulator for dental bone drilling
dc.contributor.authorZheng, F.
dc.contributor.authorLu, W.
dc.contributor.authorWong, Y.S.
dc.contributor.authorFoong, K.W.C.
dc.date.accessioned2014-04-24T10:16:25Z
dc.date.available2014-04-24T10:16:25Z
dc.date.issued2011
dc.identifier.citationZheng, F.,Lu, W.,Wong, Y.S.,Foong, K.W.C. (2011). GPU-based haptic simulator for dental bone drilling. Proceedings of the ASME Design Engineering Technical Conference 2 (PARTS A AND B) : 1419-1428. ScholarBank@NUS Repository. <a href="https://doi.org/10.1115/DETC2011-47019" target="_blank">https://doi.org/10.1115/DETC2011-47019</a>
dc.identifier.isbn9780791854792
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51602
dc.description.abstractDental bone drilling is an inexact and often a blind art. Dentist risks damaging the invisible tooth roots, nerves and critical dental structures like mandibular canal and maxillary sinus. This paper presents a haptics-based jawbone drilling simulator for novice surgeons. Through the real-time training of tactile sensations based on patient-specific data, improved outcomes and faster procedures can be provided. Previously developed drilling simulators usually adopt penalty-based contact force models and often consider only spherical-shaped drill bits for simplicity and computational efficiency. In contrast, our simulator is equipped with a more precise force model, adapted from the Voxmap-PointShell (VPS) method to capture the essential features of the drilling procedure. In addition, the proposed force model can accommodate various shapes of drill bits. To achieve better anatomical accuracy, our oral model has been reconstructed from Cone Beam CT, using voxel-based method. To enhance the real-time response, the parallel computing power of Graphics Processing Units is exploited through extra efforts for data structure design, algorithms parallelization, and graphic memory utilization. Preliminary results show that the developed system can produce appropriate force feedback at different tissue layers. © 2011 by ASME.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1115/DETC2011-47019
dc.sourceScopus
dc.subjectDental drilling
dc.subjectGPU
dc.subjectHaptic rendering
dc.subjectParallel computing
dc.subjectSurgical training
dc.subjectVoxel model
dc.subjectVPS
dc.typeConference Paper
dc.contributor.departmentPREVENTIVE DENTISTRY
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1115/DETC2011-47019
dc.description.sourcetitleProceedings of the ASME Design Engineering Technical Conference
dc.description.volume2
dc.description.issuePARTS A AND B
dc.description.page1419-1428
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.