• 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

三维体视摄影术在颅缝早闭评估中的应用:当前和潜在的应用案例。

Three-Dimensional Stereophotogrammetry in the Evaluation of Craniosynostosis: Current and Potential Use Cases.

机构信息

Department of Neurosurgery.

Department of Radiology and Nuclear Medicine.

出版信息

J Craniofac Surg. 2021 May 1;32(3):956-963. doi: 10.1097/SCS.0000000000007379.

DOI:10.1097/SCS.0000000000007379
PMID:33405445
Abstract

Three-dimensional (3D) stereophotogrammetry is a novel imaging technique that has gained popularity in the medical field as a reliable, non-invasive, and radiation-free imaging modality. It uses optical sensors to acquire multiple 2D images from different angles which are reconstructed into a 3D digital model of the subject's surface. The technique proved to be especially useful in craniofacial applications, where it serves as a tool to overcome the limitations imposed by conventional imaging modalities and subjective evaluation methods. The capability to acquire high-dimensional data in a quick and safe manner and archive them for retrospective longitudinal analyses, provides the field with a methodology to increase the understanding of the morphological development of the cranium, its growth patterns and the effect of different treatments over time.This review describes the role of 3D stereophotogrammetry in the evaluation of craniosynostosis, including reliability studies, current and potential clinical use cases, and practical challenges. Finally, developments within the research field are analyzed by means of bibliometric networks, depicting prominent research topics, authors, and institutions, to stimulate new ideas and collaborations in the field of craniofacial 3D stereophotogrammetry.We anticipate that utilization of this modality's full potential requires a global effort in terms of collaborations, data sharing, standardization, and harmonization. Such developments can facilitate larger studies and novel deep learning methods that can aid in reaching an objective consensus regarding the most effective treatments for patients with craniosynostosis and other craniofacial anomalies, and to increase our understanding of these complex dysmorphologies and associated phenotypes.

摘要

三维(3D)立体摄影测量是一种新颖的成像技术,已在医学领域作为一种可靠、非侵入性且无辐射的成像方式而受到欢迎。它使用光学传感器从不同角度获取多个 2D 图像,然后将这些图像重建为对象表面的 3D 数字模型。该技术在颅面应用中特别有用,可作为一种工具来克服传统成像方式和主观评估方法的局限性。它能够快速、安全地获取高维数据,并将其存档以备进行回顾性纵向分析,为该领域提供了一种方法,以增加对颅骨形态发育、生长模式以及不同治疗方法随时间推移的影响的理解。

本文综述了 3D 立体摄影测量在颅缝早闭评估中的作用,包括可靠性研究、当前和潜在的临床应用案例以及实际挑战。最后,通过文献计量网络分析研究领域的发展,描绘突出的研究主题、作者和机构,以激发颅面 3D 立体摄影测量领域的新想法和合作。

我们预计,要充分发挥这种方式的潜力,需要在合作、数据共享、标准化和协调方面做出全球性的努力。这种发展可以促进更大规模的研究和新的深度学习方法,以帮助就颅缝早闭和其他颅面畸形患者的最有效治疗方法达成客观共识,并增进我们对这些复杂畸形和相关表型的理解。

相似文献

1
Three-Dimensional Stereophotogrammetry in the Evaluation of Craniosynostosis: Current and Potential Use Cases.三维体视摄影术在颅缝早闭评估中的应用:当前和潜在的应用案例。
J Craniofac Surg. 2021 May 1;32(3):956-963. doi: 10.1097/SCS.0000000000007379.
2
A new method for three-dimensional evaluation of the cranial shape and the automatic identification of craniosynostosis using 3D stereophotogrammetry.一种使用三维立体摄影测量法对颅骨形状进行三维评估及自动识别颅缝早闭的新方法。
Int J Oral Maxillofac Surg. 2017 Jul;46(7):819-826. doi: 10.1016/j.ijom.2017.03.017. Epub 2017 Apr 6.
3
Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry.基于 3D 摄影测量的颅缝早闭手术结果评估中的几何学习和统计建模。
Comput Methods Programs Biomed. 2023 Oct;240:107689. doi: 10.1016/j.cmpb.2023.107689. Epub 2023 Jun 25.
4
Review of quantitative outcome analysis of cranial morphology in craniosynostosis.颅缝早闭中颅骨形态定量结果分析的综述。
J Plast Reconstr Aesthet Surg. 2016 Nov;69(11):1464-1468. doi: 10.1016/j.bjps.2016.08.006. Epub 2016 Sep 7.
5
3D digital stereophotogrammetry: a practical guide to facial image acquisition.3D 数字体视摄影测量技术:面部图像采集实用指南。
Head Face Med. 2010 Jul 28;6:18. doi: 10.1186/1746-160X-6-18.
6
Combining deep learning with 3D stereophotogrammetry for craniosynostosis diagnosis.将深度学习与 3D 体视摄影相结合进行颅缝早闭诊断。
Sci Rep. 2020 Sep 18;10(1):15346. doi: 10.1038/s41598-020-72143-y.
7
Use of 3-Dimensional Stereophotogrammetry to Detect Disease Progression in Craniofacial Morphea.应用三维体视摄影术检测颅面硬斑病的疾病进展。
JAMA Dermatol. 2023 Nov 1;159(11):1232-1239. doi: 10.1001/jamadermatol.2023.3649.
8
Picture perfect? Reliability of craniofacial anthropometry using three-dimensional digital stereophotogrammetry.完美呈现?使用三维数字立体摄影测量法进行颅面人体测量的可靠性。
Plast Reconstr Surg. 2009 Oct;124(4):1261-1272. doi: 10.1097/PRS.0b013e3181b454bd.
9
Measuring asymmetry in facial morphea via 3-dimensional stereophotogrammetry.通过三维体视摄影测量面部硬斑病的不对称性。
J Am Acad Dermatol. 2023 Jan;88(1):101-108. doi: 10.1016/j.jaad.2022.05.029. Epub 2022 May 26.
10
Development of a three-dimensional hand model using 3D stereophotogrammetry: Evaluation of landmark reproducibility.使用三维立体摄影测量法构建三维手部模型:标志点重现性评估
J Plast Reconstr Aesthet Surg. 2015 May;68(5):709-16. doi: 10.1016/j.bjps.2014.12.025. Epub 2014 Dec 31.

引用本文的文献

1
SHAPE: A visual computing pipeline for interactive landmarking of 3D photograms and patient reporting for assessing craniosynostosis.SHAPE:一种用于3D摄影测量交互式地标定位和评估颅缝早闭患者报告的视觉计算管道。
Comput Graph. 2024 Dec;125. doi: 10.1016/j.cag.2024.104056. Epub 2024 Sep 12.
2
Neuroanatomical photogrammetric models using smartphones: a comparison of apps.基于智能手机的神经解剖摄影测量模型:应用比较。
Acta Neurochir (Wien). 2024 Sep 24;166(1):378. doi: 10.1007/s00701-024-06264-y.
3
Forehead Shape Analysis following Surgical and Conservative Treatment in Metopic Synostosis: A 3-Dimensional Photogrammetry Analysis.
额缝早闭手术及保守治疗后的额部形状分析:三维摄影测量分析
Plast Reconstr Surg. 2025 Jul 1;156(1):103e-111e. doi: 10.1097/PRS.0000000000011753. Epub 2024 Sep 23.
4
Quantifying dysmorphologies of the neurocranium using artificial neural networks.使用人工神经网络量化神经颅的畸形。
J Anat. 2024 Dec;245(6):903-913. doi: 10.1111/joa.14061. Epub 2024 May 17.
5
Towards a radiation free numerical modelling framework to predict spring assisted correction of scaphocephaly.迈向无辐射数值建模框架以预测舟状头畸形的弹簧辅助矫正。
Comput Methods Biomech Biomed Engin. 2025 Mar;28(4):477-486. doi: 10.1080/10255842.2023.2294262. Epub 2023 Dec 18.
6
Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry.基于 3D 摄影测量的颅缝早闭手术结果评估中的几何学习和统计建模。
Comput Methods Programs Biomed. 2023 Oct;240:107689. doi: 10.1016/j.cmpb.2023.107689. Epub 2023 Jun 25.
7
Sagittal Craniosynostosis: Comparing Surgical Techniques Using 3D Photogrammetry.矢状缝早闭:使用 3D 摄影测量术比较手术技术。
Plast Reconstr Surg. 2023 Oct 1;152(4):675e-688e. doi: 10.1097/PRS.0000000000010441. Epub 2023 Mar 22.
8
The Characterisation of the Craniofacial Morphology of Infants Born With Zika Virus; Innovative Approach for Public Health Surveillance and Broad Clinical Applications.寨卡病毒感染新生儿的颅面形态特征;公共卫生监测与广泛临床应用的创新方法。
Front Med (Lausanne). 2021 Jun 24;8:612596. doi: 10.3389/fmed.2021.612596. eCollection 2021.