Evidence map›Paper›PMID 29663370›Full record

ArticleJournal of anatomy2018

Deformable torso phantoms of Chinese adults for personalized anatomy modelling.

Hongkai Wang, Xiaobang Sun, Tongning Wu, Congsheng Li, Zhonghua Chen, Meiying Liao, Mengci Li, Wen Yan, Hui Huang, Jia Yang and 14 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of anatomy, 2018. 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
0.7field-weighted citation impact, top 33% 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, 16 citations in OpenAlex.

  1. Article
  2. Article
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

24 authors at 7 institutions in 2 countries.

Hongkai WangDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Xiaobang SunDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.ORCID 0000-0001-8797-6337
Tongning WuChina Academy of Industry and Communications Technology, Beijing, China.
Congsheng LiChina Academy of Industry and Communications Technology, Beijing, China.
Zhonghua ChenDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Meiying LiaoDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Mengci LiDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Wen YanDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Hui HuangDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Jia YangDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Ziyu TanDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Libo HuiDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Yue LiuDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Hang PanDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Yue QuDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Zhaofeng ChenDepartment of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Liwen TanInstitute of Digital Medicine, Third Military Medical University, Chongqing, China.
Lijuan YuThe Affiliated Cancer Hospital of Hainan Medical College, Haikou, Hainan, China.
Hongcheng ShiDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Li HuoDepartment of Nuclear Medicine, Peking Union Medical College Hospital, Beijing, China.
Yanjun ZhangDepartment of Nuclear Medicine, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Xin TangTrauma Department of Orthopaedics, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Shaoxiang ZhangInstitute of Digital Medicine, Third Military Medical University, Chongqing, China.
Changjian LiuTrauma Department of Orthopaedics, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Dalian University of Technology · CNDalian Medical University · CNArmy Medical University · CNChina Academy of Information and Communications Technology · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNHainan Medical College Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, there has been increasing demand for personalized anatomy modelling for medical and industrial applications, such as ergonomics device development, clinical radiological exposure simulation, biomechanics analysis, and 3D animation character design. In this study, we constructed deformable torso phantoms that can be deformed to match the personal anatomy of Chinese male and female adults. The phantoms were created based on a training set of 79 trunk computed tomography (CT) images (41 males and 38 females) from normal Chinese subjects. Major torso organs were segmented from the CT images, and the statistical shape model (SSM) approach was used to learn the inter-subject anatomical variations. To match the personal anatomy, the phantoms were registered to individual body surface scans or medical images using the active shape model method. The constructed SSM demonstrated anatomical variations in body height, fat quantity, respiratory status, organ geometry, male muscle size, and female breast size. The masses of the deformed phantom organs were consistent with Chinese population organ mass ranges. To validate the performance of personal anatomy modelling, the phantoms were registered to the body surface scan and CT images. The registration accuracy measured from 22 test CT images showed a median Dice coefficient over 0.85, a median volume recovery coefficient (RC

Indexed as

Asian PeopleBody SizeModels, AnatomicPhantoms, ImagingAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPhysical Appearance, BodySomatotypesTomography, X-Ray ComputedTorsoChinese visible humandigital human phantompersonalized anatomy modellingpersonalized biomechanicspersonalized dosimetrystatistical shape model

Identifiers

PMID29663370
PMCPMC5987821
OpenAlexW2799330675

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.