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
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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.

创建解剖学衍生的,标准化的,可定制的,三维可打印的头帽,用于功能神经成像。
意义:一致和准确的探针放置是提高纵向和基于组的功能神经影像学研究可重复性的关键一步。虽然头套的选择是这些努力的核心,但目前还没有一个标准化的设计,可以适应不同的探针配置和实验程序。目的:我们的目标是为社区提供一个开源软件管道,方便地创建低成本,三维(3D)可打印的神经成像头帽,其解剖学意义显著的地标集成到帽的结构中。方法:我们利用我们先进的3D头部网格生成工具箱和10-20个头部地标计算,快速将受试者的解剖扫描或地图集转换为3D可打印的头帽模型。开源Blender平台的3D建模环境允许先进的网格处理功能来定制帽子。设计过程被简化为一个名为“NeuroCaptain”的Blender附加组件。“结果:使用直观的用户界面,我们使用大脑地图集创建了各种帽子模型,并与社区分享。由此产生的基于网格的头帽设计很容易使用现成的打印机和长丝3D打印,同时准确地保留头部几何形状和地标。结论:在这项工作中开发的方法为社区成员设计、定制和制造包含解剖学衍生地标的帽子提供了一种广泛使用的工具。这不仅可以实现个性化的帽子设计,提高准确性,而且为社区提供了一个开放的平台,可以提出标准化的帽子,以促进多中心的数据收集和共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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.
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