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brain2print是人工智能支持的网络工具,用于创建可3D打印的大脑模型.

Christopher Rorden1, Matthew McCormick2, Taylor Hanayik3

  • 1McCausland Center for Brain Imaging, Department of Psychology, University of South Carolina, 915 Greene St, Columbia, SC, 29016, USA. rorden@sc.edu.

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此摘要是机器生成的。

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科学领域:

  • 医学成像医学成像
  • 通过3D打印打印3D打印.
  • 人工智能的人工智能是人工智能.

背景情况:

  • 传统的方法将MRI扫描转换为3D模型是复杂且耗时的.
  • 现有的工具通常需要多个软件安装和技术专业知识.
  • 有限的可访问性阻碍了3D打印在教育,临床环境和研究中的使用.

研究的目的:

  • 介绍brain2print,一个开源的,基于Web的应用程序,用于将T1权重的MRI扫描转换为3D可打印模型.
  • 利用人工智能 (AI) 进行自动细分和网格生成,直接在用户的设备上.
  • 为创建3D解剖模型提供一种用户友好,保护隐私和可访问的解决方案.

主要方法:

  • 开发一个基于Web的应用程序,brain2print,利用AI算法.
  • 实现设备内计算以处理MRI数据并保护用户隐私.
  • 整合了MRI扫描的拖放功能和AI细分模型的选择.
  • 允许对3D打印的网状复杂性和结构进行定制.

主要成果:

  • brain2print成功地将T1权重的MRI扫描转换为3D可打印的网状模型.
  • 该应用程序在本地执行所有计算,确保数据隐私并消除软件安装要求.
  • 零足迹设计确保了各种设备和浏览器的广泛兼容性.
  • 与以前的方法相比,该过程明显更快,更易于使用.

结论:

  • brain2print提供了一种简化和高效的解决方案,用于从MRI数据生成3D可打印模型.
  • 该工具使3D打印在教育,临床实践和研究中用于解剖学可视化.
  • 通过优先考虑隐私和易用性,brain2print促进了3D打印技术在神经科学和医学领域的更广泛采用.