• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于身体周长测量的数字人体测量学:迈向通用三维光学系统分析软件的开发

Digital anthropometry for body circumference measurements: Toward the development of universal three-dimensional optical system analysis software.

作者信息

Sobhiyeh Sima, Kennedy Samantha, Dunkel Alexander, Dechenaud Marcelline E, Weston Jerome A, Shepherd John, Wolenski Peter, Heymsfield Steven B

机构信息

Metabolism-Body-Composition Pennington Biomedical Research Center LSU System Baton Rouge Louisiana USA.

Department of Mathematics Louisiana State University Baton Rouge Louisiana USA.

出版信息

Obes Sci Pract. 2020 Nov 6;7(1):35-44. doi: 10.1002/osp4.467. eCollection 2021 Feb.

DOI:10.1002/osp4.467
PMID:33680490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7909596/
Abstract

BACKGROUND/OBJECTIVE: Digital anthropometric (DA) assessments are increasingly being administered with three-dimensional (3D) optical devices in clinical settings that manage patients with obesity and related metabolic disorders. However, anatomic measurement sites are not standardized across manufacturers, precluding use of published reference values and pooling of data across research centers.

SUBJECTS/METHODS: This study aimed to develop universal 3D analysis software by applying novel programming strategies capable of producing device-independent DA estimates that agree with conventional anthropometric (CA) measurements made at well-defined anatomic sites. A series of technical issues related to proprietary methods of 3D geometrical reconstruction and image analysis were addressed in developing major software components. To evaluate software accuracy, comparisons were made to CA circumference measurements made with a flexible tape at eleven standard anatomic sites in up to 35 adults scanned with three different commercial 3D optical devices.

RESULTS

Overall, group mean CA and DA values across the three systems were in good agreement, with ∼2 cm systematic differences; CA and DA estimates were highly correlated (all -values <0.01); root-mean square errors were low (0.51-3.27 cm); and CA-DA bias tended to be small, but significant depending on anatomic site and device.

CONCLUSIONS

Availability of this software, with future refinements, has the potential to facilitate clinical applications and creation of large pooled uniform anthropometric databases.

摘要

背景/目的:在诊治肥胖及相关代谢紊乱患者的临床环境中,越来越多地使用三维(3D)光学设备进行数字人体测量(DA)评估。然而,各制造商之间的解剖测量部位并不统一,这使得已发表的参考值无法使用,也无法在各研究中心汇总数据。

受试者/方法:本研究旨在通过应用新颖的编程策略开发通用的3D分析软件,该软件能够生成与在明确解剖部位进行的传统人体测量(CA)结果一致的、不依赖设备的DA估计值。在开发主要软件组件时,解决了一系列与3D几何重建和图像分析的专有方法相关的技术问题。为评估软件准确性,对使用三种不同商用3D光学设备扫描的多达35名成年人在11个标准解剖部位用软尺进行的CA周长测量结果与DA测量结果进行了比较。

结果

总体而言,三个系统的组平均CA和DA值吻合良好,系统差异约为2厘米;CA和DA估计值高度相关(所有P值<0.01);均方根误差较低(0.51 - 3.27厘米);CA - DA偏差往往较小,但因解剖部位和设备而异,具有显著性。

结论

该软件若能进一步完善,有望促进临床应用并创建大型汇总统一人体测量数据库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92d/7909596/689c1b395563/OSP4-7-35-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92d/7909596/d7ea501b4fb1/OSP4-7-35-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92d/7909596/271588158d65/OSP4-7-35-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92d/7909596/689c1b395563/OSP4-7-35-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92d/7909596/d7ea501b4fb1/OSP4-7-35-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92d/7909596/271588158d65/OSP4-7-35-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a92d/7909596/689c1b395563/OSP4-7-35-g003.jpg

相似文献

1
Digital anthropometry for body circumference measurements: Toward the development of universal three-dimensional optical system analysis software.用于身体周长测量的数字人体测量学:迈向通用三维光学系统分析软件的开发
Obes Sci Pract. 2020 Nov 6;7(1):35-44. doi: 10.1002/osp4.467. eCollection 2021 Feb.
2
Digital anthropometric volumes: Toward the development and validation of a universal software.数字人体测量体积:开发和验证通用软件的研究。
Med Phys. 2021 Jul;48(7):3654-3664. doi: 10.1002/mp.14829. Epub 2021 Jul 9.
3
Anthropometric evaluation of a 3D scanning mobile application.3D 扫描移动应用的人体测量评估。
Obesity (Silver Spring). 2022 Jun;30(6):1181-1188. doi: 10.1002/oby.23434. Epub 2022 May 2.
4
Automated anthropometric phenotyping with novel Kinect-based three-dimensional imaging method: comparison with a reference laser imaging system.基于新型Kinect的三维成像方法的自动人体测量表型分析:与参考激光成像系统的比较
Eur J Clin Nutr. 2016 Apr;70(4):475-81. doi: 10.1038/ejcn.2015.132. Epub 2015 Sep 16.
5
Digital anthropometric evaluation of young children: comparison to results acquired with conventional anthropometry.儿童数字人体测量评估:与传统人体测量学结果的比较。
Eur J Clin Nutr. 2022 Feb;76(2):251-260. doi: 10.1038/s41430-021-00938-x. Epub 2021 May 26.
6
Hole Filling in 3D Scans for Digital Anthropometric Applications.用于数字人体测量应用的3D扫描中的孔洞填充
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:2752-2757. doi: 10.1109/EMBC.2019.8856713.
7
Total body and regional surface area: Quantification with low-cost three-dimensional optical imaging systems.全身和局部体表面积:使用低成本三维光学成像系统进行量化。
Am J Phys Anthropol. 2021 Aug;175(4):865-875. doi: 10.1002/ajpa.24243. Epub 2021 Feb 5.
8
Technical Report on the Modification of 3-Dimensional Non-contact Human Body Laser Scanner for the Measurement of Anthropometric Dimensions: Verification of its Accuracy and Precision.用于人体测量尺寸的三维非接触式人体激光扫描仪的改进技术报告:其准确性和精密度的验证
J Lasers Med Sci. 2017 Winter;8(1):22-28. doi: 10.15171/jlms.2017.05. Epub 2017 Jan 8.
9
Three-dimensional surface imaging for clinical trials: improved precision and reproducibility in circumference measurements of thighs and abdomens.用于临床试验的三维表面成像:提高大腿和腹部周长测量的精度和可重复性。
Lasers Surg Med. 2009 Dec;41(10):767-73. doi: 10.1002/lsm.20863.
10
Influence of computed tomography angiography reconstruction software on anatomic measurements and endograft component selection for endovascular abdominal aortic aneurysm repair.计算机断层血管造影重建软件对血管内腹主动脉瘤修复的解剖学测量和移植物组件选择的影响。
J Vasc Surg. 2014 May;59(5):1224-31.e1-3. doi: 10.1016/j.jvs.2013.11.003. Epub 2014 Jan 16.

引用本文的文献

1
Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical Template.使用圆柱形模板的径向变形对孕妇进行快速简单的统计形状分析。
IEEE Access. 2024;12:20251-20259. doi: 10.1109/access.2023.3342608. Epub 2023 Dec 13.
2
Accurate prediction of three-dimensional humanoid avatars for anthropometric modeling.准确预测三维拟人化角色以进行人体测量建模。
Int J Obes (Lond). 2024 Dec;48(12):1741-1747. doi: 10.1038/s41366-024-01614-3. Epub 2024 Aug 24.
3
Accurate Prediction of Three-Dimensional Humanoid Avatars for Anthropometric Modeling.

本文引用的文献

1
Novel body fat estimation using machine learning and 3-dimensional optical imaging.利用机器学习和三维光学成像进行新型体脂估计。
Eur J Clin Nutr. 2020 May;74(5):842-845. doi: 10.1038/s41430-020-0603-x. Epub 2020 Mar 16.
2
Validation and Utility Testing of Clinical Prediction Models: Time to Change the Approach.临床预测模型的验证与效用测试:是时候改变方法了。
JAMA. 2020 Jul 21;324(3):235-236. doi: 10.1001/jama.2020.1230.
3
Hole Filling in 3D Scans for Digital Anthropometric Applications.用于数字人体测量应用的3D扫描中的孔洞填充
用于人体测量建模的三维类人化身的准确预测
Res Sq. 2024 Jul 13:rs.3.rs-4565498. doi: 10.21203/rs.3.rs-4565498/v1.
4
Mobile phone applications for 3-dimensional scanning and digital anthropometry: a precision comparison with traditional scanners.手机应用程序进行三维扫描和数字人体测量:与传统扫描仪的精确性比较。
Eur J Clin Nutr. 2024 Jun;78(6):509-514. doi: 10.1038/s41430-024-01424-w. Epub 2024 Mar 7.
5
Smartphone prediction of skeletal muscle mass: model development and validation in adults.智能手机预测骨骼肌量:成人模型的建立和验证。
Am J Clin Nutr. 2023 Apr;117(4):794-801. doi: 10.1016/j.ajcnut.2023.02.003. Epub 2023 Feb 8.
6
Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies.数字人体测量学:最流行现有技术的精度、可靠性和准确性的系统评价。
Nutrients. 2023 Jan 7;15(2):302. doi: 10.3390/nu15020302.
7
Longitudinal Changes in Fat and Lean Mass: Comparisons between 3D-Infrared and Dual-Energy X-ray Absorptiometry Scans in Athletes.脂肪和瘦体重的纵向变化:运动员的三维红外扫描与双能X线吸收法扫描的比较
Int J Exerc Sci. 2022 Dec 1;15(4):1587-1599. doi: 10.70252/ARQN5804. eCollection 2022.
8
Normalized sensitivity of multi-dimensional body composition biomarkers for risk change prediction.多维身体成分生物标志物对风险变化预测的归一化敏感性。
Sci Rep. 2022 Jul 20;12(1):12375. doi: 10.1038/s41598-022-16142-1.
9
Smartphone camera based assessment of adiposity: a validation study.基于智能手机摄像头的肥胖评估:一项验证研究。
NPJ Digit Med. 2022 Jun 29;5(1):79. doi: 10.1038/s41746-022-00628-3.
10
Digital Anthropometry for Body Circumference Measurements: European Phenotypic Variations throughout the Decades.用于身体周长测量的数字人体测量学:数十年来欧洲的表型变异
J Pers Med. 2022 May 30;12(6):906. doi: 10.3390/jpm12060906.
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:2752-2757. doi: 10.1109/EMBC.2019.8856713.
4
Detailed 3-dimensional body shape features predict body composition, blood metabolites, and functional strength: the Shape Up! studies.详细的三维身体形态特征可预测身体成分、血液代谢物和功能强度:Shape Up! 研究。
Am J Clin Nutr. 2019 Dec 1;110(6):1316-1326. doi: 10.1093/ajcn/nqz218.
5
Optical imaging technology for body size and shape analysis: evaluation of a system designed for personal use.体尺寸和形状分析的光学成像技术:个人使用系统的评估。
Eur J Clin Nutr. 2020 Jun;74(6):920-929. doi: 10.1038/s41430-019-0501-2. Epub 2019 Sep 24.
6
Digital anthropometry: a critical review.数字人体测量学:批判性评价。
Eur J Clin Nutr. 2018 May;72(5):680-687. doi: 10.1038/s41430-018-0145-7. Epub 2018 May 10.
7
Comparison of regional fat measurements by dual-energy X-ray absorptiometry and conventional anthropometry and their association with markers of diabetes and cardiovascular disease risk.双能 X 射线吸收法与传统人体测量法测量的局部脂肪量比较及其与糖尿病和心血管疾病风险标志物的关系。
Int J Obes (Lond). 2018 Apr;42(4):850-857. doi: 10.1038/ijo.2017.289. Epub 2017 Nov 20.
8
Reliability of a 3D Body Scanner for Anthropometric Measurements of Central Obesity.用于中心性肥胖人体测量的三维人体扫描仪的可靠性
Obes Open Access. 2016 Nov;2(3). doi: 10.16966/2380-5528.122. Epub 2016 Oct 6.
9
Automated anthropometric phenotyping with novel Kinect-based three-dimensional imaging method: comparison with a reference laser imaging system.基于新型Kinect的三维成像方法的自动人体测量表型分析:与参考激光成像系统的比较
Eur J Clin Nutr. 2016 Apr;70(4):475-81. doi: 10.1038/ejcn.2015.132. Epub 2015 Sep 16.
10
Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables.成人营养状况的身体成分与形态学评估:人体测量学变量综述
J Hum Nutr Diet. 2016 Feb;29(1):7-25. doi: 10.1111/jhn.12278. Epub 2014 Nov 25.