Evidence map›Paper›PMID 36262928›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering

A level set approach to high fidelity interactive bone shaving for virtual training of surgical osteotomies.

Andrew Wilson, Harald Scheirich, Beatriz Paniagua, Raymond White, Tung Nguyen, Venkata Arikatla

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Andrew WilsonKitware Inc., Carrboro, NC.
Harald ScheirichKitware Inc., Carrboro, NC.
Beatriz PaniaguaKitware Inc., Carrboro, NC.
Raymond WhiteDepartment of Orthodontics, School of Dentistry, UNC, Chapel Hill, NC.
Tung NguyenDepartment of Oral and Maxillofacial Surgery, School of Dentistry, UNC, Chapel Hill, NC.
Venkata ArikatlaKitware Inc., Carrboro, NC.

Funding

NIH High-fidelity Virtual Reality Trainer for Orthognathic Surgery - Phase IIR44DE027595 · NIDCR · KITWARE, INC. · PI PANIAGUA, BEATRIZ · 2019 to 2020
$1.5M
NIDCR NIH HHS R44 DE027595
6 · The paper itself

Abstract

Interactive multimodal surgical simulators are powerful tools that allow efficient and objective assessment of surgical skills. Bilateral Sagittal Split Osteotomy (BSSO) requires precise cutting of the mandible with a motorized saw that cannot afford a high margin of error. Surgeons rely on visual and haptic cues that are hard to train for through existing curricula without training directly on patients. In this paper, we present a new algorithm to achieve low-cost, precise sawing of the bone that is capable of providing realistic force feedback to the user at haptic rates (~1000Hz). Our method is centered around treating the bone surface as a level set that is evolved at interactive rates upon user's interaction with the virtual saw. The movement of the virtual saw itself is governed by a rigid body solver which is attached to the pose (6 degrees of freedom) of the haptic device via a mass-spring-damper which also supplies haptic force feedback. Our method allows parameterization of the erosion rate, saw speed, and bone density thus making it suitable to any material shaving application including dentistry (e.g., tooth milling) and a variety of surgical osteotomies.

Indexed as

hapticslevel setsosteotomysurgical simulation

Identifiers

PMID36262928
PMCPMC9577864

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.