Creating anatomically derived, standardized, customizable, and three-dimensional printable head caps for functional neuroimaging.

IF 4.8 2区 医学 Q1 NEUROSCIENCES
Neurophotonics Pub Date : 2025-01-01 Epub Date: 2025-03-18 DOI:10.1117/1.NPh.12.1.015016
Ashlyn McCann, Edward Xu, Fan-Yu Yen, Noah Joseph, Qianqian Fang
{"title":"Creating anatomically derived, standardized, customizable, and three-dimensional printable head caps for functional neuroimaging.","authors":"Ashlyn McCann, Edward Xu, Fan-Yu Yen, Noah Joseph, Qianqian Fang","doi":"10.1117/1.NPh.12.1.015016","DOIUrl":null,"url":null,"abstract":"<p><strong>Significance: </strong>Consistent and accurate probe placement is a crucial step toward enhancing the reproducibility of longitudinal and group-based functional neuroimaging studies. Although the selection of headgear is central to these efforts, there does not currently exist a standardized design that can accommodate diverse probe configurations and experimental procedures.</p><p><strong>Aim: </strong>We aim to provide the community with an open-source software pipeline for conveniently creating low-cost, three-dimensional (3D) printable neuroimaging head caps with anatomically significant landmarks integrated into the structure of the cap.</p><p><strong>Approach: </strong>We utilize our advanced 3D head mesh generation toolbox and 10-20 head landmark calculations to quickly convert a subject's anatomical scan or an atlas into a 3D printable head cap model. The 3D modeling environment of the open-source Blender platform permits advanced mesh processing features to customize the cap. The design process is streamlined into a Blender add-on named \"NeuroCaptain.\"</p><p><strong>Results: </strong>Using the intuitive user interface, we create various head cap models using brain atlases and share those with the community. The resulting mesh-based head cap designs are readily 3D printable using off-the-shelf printers and filaments while accurately preserving the head geometry and landmarks.</p><p><strong>Conclusions: </strong>The methods developed in this work result in a widely accessible tool for community members to design, customize, and fabricate caps that incorporate anatomically derived landmarks. This not only permits personalized head cap designs to achieve improved accuracy but also offers an open platform for the community to propose standardizable head caps to facilitate multi-centered data collection and sharing.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"12 1","pages":"015016"},"PeriodicalIF":4.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11915464/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurophotonics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1117/1.NPh.12.1.015016","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Significance: Consistent and accurate probe placement is a crucial step toward enhancing the reproducibility of longitudinal and group-based functional neuroimaging studies. Although the selection of headgear is central to these efforts, there does not currently exist a standardized design that can accommodate diverse probe configurations and experimental procedures.

Aim: We aim to provide the community with an open-source software pipeline for conveniently creating low-cost, three-dimensional (3D) printable neuroimaging head caps with anatomically significant landmarks integrated into the structure of the cap.

Approach: We utilize our advanced 3D head mesh generation toolbox and 10-20 head landmark calculations to quickly convert a subject's anatomical scan or an atlas into a 3D printable head cap model. The 3D modeling environment of the open-source Blender platform permits advanced mesh processing features to customize the cap. The design process is streamlined into a Blender add-on named "NeuroCaptain."

Results: Using the intuitive user interface, we create various head cap models using brain atlases and share those with the community. The resulting mesh-based head cap designs are readily 3D printable using off-the-shelf printers and filaments while accurately preserving the head geometry and landmarks.

Conclusions: The methods developed in this work result in a widely accessible tool for community members to design, customize, and fabricate caps that incorporate anatomically derived landmarks. This not only permits personalized head cap designs to achieve improved accuracy but also offers an open platform for the community to propose standardizable head caps to facilitate multi-centered data collection and sharing.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Neurophotonics
Neurophotonics Neuroscience-Neuroscience (miscellaneous)
CiteScore
7.20
自引率
11.30%
发文量
114
审稿时长
21 weeks
期刊介绍: At the interface of optics and neuroscience, Neurophotonics is a peer-reviewed journal that covers advances in optical technology applicable to study of the brain and their impact on the basic and clinical neuroscience applications.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信