Evidence map›Paper›PMID 28176265›Full record

ArticleMedical & biological engineering & computing2017

Deformation of facial model for complete denture prosthesis using ARAP group method and elastic properties.

Cheng Cheng, Xiaosheng Cheng, Ning Dai, Yuchun Sun, Xiaotong Jiang, Weiwei Li

Abstract read
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 49% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. [Independent innovation research, development and transformation of precise bionic repair technology for oral prosthesis].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2022
    Review
  2. [Independent innovation research of functionally suitable denture digital system].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2020
    Review
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 at 2 institutions in 1 country.

Cheng ChengCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Yudao Street, Qinhuai Dist, Nanjing, 210016, People's Republic of China.
Xiaosheng ChengCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Yudao Street, Qinhuai Dist, Nanjing, 210016, People's Republic of China.
Ning DaiCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Yudao Street, Qinhuai Dist, Nanjing, 210016, People's Republic of China. dai_ning@nuaa.edu.cn.
Yuchun SunResearch Centre of Engineering and Technology for Computerized Dentistry, Ministry of Health, Peking University School and Hospital of Stomatology, Beijing, 100081, People's Republic of China. polarshining@163.com.
Xiaotong JiangCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Yudao Street, Qinhuai Dist, Nanjing, 210016, People's Republic of China.
Weiwei LiResearch Centre of Engineering and Technology for Computerized Dentistry, Ministry of Health, Peking University School and Hospital of Stomatology, Beijing, 100081, People's Republic of China.
Nanjing University of Aeronautics and Astronautics · CNPeking University · CN

Funding

Jiangsu Key Technology Support Program BE2014009-3Six talent peaks project in Jiangsu Province, China GDZB-034The national natural science foundation of China 51205192The national natural science foundation of China 81271181the Natural Science Foundation of Jiangsu Province, China BK20161487
6 · The paper itself

Abstract

With the development of 3D printing and computer graphics technology, mouth rehabilitation has increasingly adopted digital methods. This research proposes a new method to transform the appearance of facial model after complete denture prosthesis. A feature template with few feature points is first constructed according to the facial muscle anatomy and facial deformation after complete denture prosthesis. Next, the traditional as-rigid-as-possible (ARAP) method is optimised by clustering based on facial muscles. The optimised ARAP method is then used for real-time and interactive simulations. Finally, by classifying the degrees of elasticity in the model with additional weights, the simulation can be customised to the skin of individual patients. Different degrees of elastic deformation and post-operative models are superimposed for match analysis. Compared with our previous study, the error is reduced by 24.05%. Results show that our method can deform facial models accurately and efficiently.

Indexed as

Computer SimulationElasticityFaceHumansImaging, Three-DimensionalModels, AnatomicMusclesPrinting, Three-DimensionalProstheses and ImplantsComplete dentureFeature classificationMesh editingNonlinear methodSoft tissue simulation

Identifiers

PMID28176265
OpenAlexW2587003033

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.