brain2print AI powered web tool for creating 3D printable brain models.

Journal: Scientific reports
PMID: 40325035

Abstract

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.

Authors

  • Christopher Rorden
    McCausland Center for Brain Imaging, Department of Psychology, University of South Carolina, 915 Greene St, Columbia, SC, 29016, USA. rorden@sc.edu.
  • Matthew McCormick
    Fideus Labs, Durham, NC, 27709, USA.
  • Taylor Hanayik
    Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Mohamed Masoud
    Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, 30303, USA.
  • Sergey M Plis
    Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, 30303, USA.

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