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M3D:面向3D打印的医学图像重建平台
引用本文:汪子歆1,刘瑞1,蒲根磊1,方曙1,周金华1,2,张存柱3. M3D:面向3D打印的医学图像重建平台[J]. 中国医学物理学杂志, 2022, 0(11): 1369-1376. DOI: DOI:10.3969/j.issn.1005-202X.2022.11.009
作者姓名:汪子歆1  刘瑞1  蒲根磊1  方曙1  周金华1  2  张存柱3
作者单位:1.安徽医科大学生物医学工程学院, 安徽 合肥 230032; 2.安徽医科大学3D打印与组织工程中心安徽省转化医学研究院, 安徽 合肥 230601; 3.安徽中健三维科技有限公司, 安徽 芜湖 241200
摘    要:本研究旨在构建面向3D打印的医学图像3D重建平台,实现医学影像数据的目标分割、3D重建与3D打印所需区域裁剪与输出功能。该软件平台采用Qt设计用户界面,调用ITK、VTK类库处理医学影像数据。软件平台实现了医学影像数据的输入输出及处理、分割与3D重建等功能;在3D打印模型输出前,可实现对感兴趣区域的截取。以肘关节为例,利用该平台可实现模型重建,截取区域输出STL文件并完成3D打印。结果表明,该软件平台操作简单、界面简洁,可以从医学影像数据中重建得到3D模型,并进行3D打印,具有重要的临床应用价值。

关 键 词:医学图像重建平台  3D打印  可视化

M3D: a medical image reconstruction platform for 3D printing
WANG Zixin1,LIU Rui1,PU Genlei1,FANG Shu1,ZHOU Jinhua1,2,ZHANG Cunzhu3. M3D: a medical image reconstruction platform for 3D printing[J]. Chinese Journal of Medical Physics, 2022, 0(11): 1369-1376. DOI: DOI:10.3969/j.issn.1005-202X.2022.11.009
Authors:WANG Zixin1  LIU Rui1  PU Genlei1  FANG Shu1  ZHOU Jinhua1  2  ZHANG Cunzhu3
Affiliation:1. School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China 2. Anhui Provincial Institute of Translational Medicine, 3D-Printing and Tissue Engineering Center, Anhui Medical University, Hefei 230601, China 3. Anhui Zhongjian 3D Sci-Tech Co., Ltd., Wuhu 241200, China
Abstract:Abstract: A medical image three-dimensional (3D) reconstruction platform is built for 3D printing, with the functions of object segmentation of medical image data, 3D reconstruction, clipping and output of region required for 3D printing. The software platform uses Qt to design the user interface, calls ITK and VTK class libraries to process medical image data. The functions of import, export, processing and 3D reconstruction of medical image data are achieved via the platform. Furthermore, the region of interest can be clipped before the 3D printed model is exported. Taking the elbow joint as an example, the platform can be used to realize model reconstruction, intercept the region of interest to generate STL files as output, and complete 3D printing. The results reveal that the software platform with simple operations and concise interfaces can be used to reconstruct 3D model from the medical image data and realize 3D printing, with important clinical application value.
Keywords:Keywords: medical image reconstruction platform 3D printing visualization
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