Rorden Christopher, McCormick Matthew, Hanayik Taylor, Masoud Mohamed, Plis Sergey M
McCausland Center for Brain Imaging, Department of Psychology, University of South Carolina, 915 Greene St, Columbia, SC, 29016, USA.
Fideus Labs, Durham, NC, 27709, USA.
Sci Rep. 2025 May 5;15(1):15664. doi: 10.1038/s41598-025-00014-5.
We introduce brain2print, a web-based application that converts T1-weighted MRI scans into 3D printable models. By leveraging artificial intelligence (AI), brain2print performs all computations directly on the user's device, preserving privacy while removing the need for any software installation. This open-source tool enables users to convert voxel-based imaging into 3D meshes, thus facilitating broader access to 3D printing for educational, clinical, and research purposes. Prior methods for converting MRI scans into printable meshes were time-consuming and required multiple software tools, some of which are difficult to install and use. In contrast, brain2print provides a seamless and fast alternative. Users can drag and drop MRI scans onto the web page, select the desired AI segmentation models, and create a mesh that can be customized for complexity and structure, resulting in models ready for 3D printing. The zero-footprint design of brain2print ensures broad compatibility across devices, as it operates entirely in the browser. This approach not only simplifies the process but also safeguards user privacy by keeping all data on local hardware.
我们推出了brain2print,这是一款基于网络的应用程序,可将T1加权磁共振成像(MRI)扫描转换为3D可打印模型。通过利用人工智能(AI),brain2print直接在用户设备上执行所有计算,在保护隐私的同时无需安装任何软件。这个开源工具使用户能够将基于体素的成像转换为3D网格,从而便于为教育、临床和研究目的更广泛地使用3D打印。之前将MRI扫描转换为可打印网格的方法既耗时又需要多个软件工具,其中一些工具难以安装和使用。相比之下,brain2print提供了一种无缝且快速的替代方案。用户可以将MRI扫描拖放到网页上,选择所需的AI分割模型,并创建一个可根据复杂性和结构进行定制的网格,从而生成准备好进行3D打印的模型。brain2print的零占用设计确保了跨设备的广泛兼容性,因为它完全在浏览器中运行。这种方法不仅简化了流程,还通过将所有数据保留在本地硬件上来保护用户隐私。