Evidence map›Paper›PMID 41633596›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2026

[Method of constructing 3D facial smile simulation sequence data based on non-rigid registration].

A Wen, X Zhang, Y Yang, Z Gao, W Li, S Shan, X Shang, Y Tian, S Guo, Y Wang and 2 more

Abstract readEnglish Abstract
PubMed Full text at PMC
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

12 authors.

A WenCenter of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology, Beijing 100081, China.
X ZhangNational Center for Applied Mathematics, Academy for Multidisciplinary Studies, Capital Normal University, Beijing 100089, China.
Y YangInstitute of Medical Technology, Peking University Health Science Center, Beijing 100191, China.
Z GaoCenter of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology, Beijing 100081, China.
W LiInstitute of Medical Technology, Peking University Health Science Center, Beijing 100191, China.
S ShanInstitute of Medical Technology, Peking University Health Science Center, Beijing 100191, China.
X ShangInstitute of Medical Technology, Peking University Health Science Center, Beijing 100191, China.
Y TianInstitute of Medical Technology, Peking University Health Science Center, Beijing 100191, China.
S GuoCenter of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology, Beijing 100081, China.
Y WangInstitute of Medical Technology, Peking University Health Science Center, Beijing 100191, China.
Y WangCenter of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology, Beijing 100081, China.
Y ZhaoCenter of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology, Beijing 100081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo propose a novel method for constructing facial smile simulation sequence data based on static three-dimensional (3D) facial data captured at the start and end of smiling, and to preliminarily evaluate the accuracy and feasibility of the proposed method.

methodsThe 3D dynamic facial data of participants transitioning from a neutral expression to a maximum smile were captured using the 3dMD dynamic facial scanning system. A structured 3D face template was deformed and registered to both the smile starting and ending facial data using the Procrustes analysis non-rigid iterative closest point (PA-NICP) registration algorithm developed by our research group, obtaining two sets of structured homologous data. In MATLAB software, the vertex displacements between the corresponding points of the starting and ending homologous datasets were calculated, and intermediate transitional data with a consistent triangular mesh topology were generated through linear interpolation, thereby constructing the facial smile simulation sequence data. The real 3D dynamic facial data captured from the 3dMD system were used as reference data, and the simulation sequence data constructed in this study were used as test data. The 3D morphological deviations between the reference and test data at multiple time points during the smiling process were calculated to evaluate the accuracy of the constructed smile simulation sequence data.

resultsThe 3D facial smile simulation sequence data were successfully constructed for one male and one female participants. The average 3D morphological deviation for the simulated sequence of the male participant was (0.31±0.04) mm, and the average 3D morphological deviation for the simulated sequence of the female participant was (0.44±0.08) mm.

conclusionBased on the PA-NICP registration algorithm, the construction of facial smile simulation sequence data can be achieved. The intermediate transitional data can be parametrically generated and flexibly adjusted using interpolation functions, providing a novel method for 3D dynamic facial data generation that supports esthetic prosthodontic design, treatment outcome evaluation, and communication between clinicians and patients.

Indexed as

FaceImaging, Three-DimensionalSmilingAlgorithmsFacial ExpressionFemaleHumansMaleYoung AdultEsthetics, dentalFacial expressionHomologous dataSmilingStructured dataThree-dimensional imagingVirtual simulation

Identifiers

PMID41633596
PMCPMC12872303

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.