图像修复matlab代码-path_planning_for_FEVAR:通过可变形配准腹主动脉瘤的3D路径规划,进行机器人辅助的开窗血管内修

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图像修复matlab代码Path_planning_for_FEVAR 通过可变形配准腹主动脉瘤的3D路径规划,进行机器人辅助的开窗血管内修复 要求 版本:Matlab R2016a至R2017a 平台:Windows,Linux 脚本'demo_2D3Dregist.m': 这演示了如何从2D术中分割的动脉瘤形状和3D术前骨骼恢复机器人路径的3D骨骼,它将导入术前透视的2D jpg图像,2D分割标签和3D骨骼。 它将显示2D / 3D骨骼,术中(地面真实)骨骼,术前骨骼和我们的预测的注册时间成本,以及在2D和3D中评估的距离误差。 文件夹“功能”: 它包括为在2D和3D骨架之间进行可变形配准而编写的所有代码。 请仔细阅读每个文件中的许可证。 对于使用此文件夹中代码的任何学术出版物,请引用: 郑JQ,周XY,C。Riga和GZ Yang,“机器人辅助有条件的血管内主动脉修复的单一2D荧光镜图像的3D路径规划”,IEEE国际机器人与自动化会议(ICRA),2019年。 文件夹“数据”: 它包括演示中使用的导入数据。 文件夹“外部”: 它包括演示中使用的重新分配的代码。 请仔细阅读每个文件

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