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Received:May 25, 2019 Revised:June 21, 2019
Received:May 25, 2019 Revised:June 21, 2019
中文摘要: 在检测二维医学图像的过程中利用医学图像的三维可视化技术有利于医生更加全面地分析图像数据,从而对病情做出准确的应对措施.以肝脏为例,首先提取可视人体数据集中连续横断面图像,采用区域生长的图像分割算法从连续的横断面图像中提取出肝脏轮廓的区域.然后对肝脏轮廓进行层间插值,利用VTK工具包结合面绘制方法构建出肝脏的三维模型.接着对初始模型进行一定程度的网格削减,降低数据冗余度,完成虚拟肝脏体的三维重建.采用CUDA架构进行肝脏体纹理的合成与映射工作,兼顾了体纹理的真实感和虚拟手术系统的实时性,对虚拟肝脏手术的发展有着重要的促进作用.
Abstract:In the process of detecting two-dimensional medical images, it is helpful for doctors to analyze image data more comprehensively and make accurate measures to deal with the illness by using the three-dimensional visualization technology of medical images. Taking the liver image as an example, firstly, continuous cross-sectional images in visible human dataset are extracted. An image segmentation algorithm based on region growing is used to extract the liver contour from continuous cross-sectional images. Secondly, interlayer interpolation of liver contour is used to construct a three-dimensional model of liver by using the VTK combined surface rendering method. Then the initial model is meshed to some extent to reduce data redundancy and complete the three-dimensional reconstruction of virtual liver. This work studies the liver solid texture synthesis with mapping based on the CUDA system, it also considers the reality for solid texture and balances the practical for virtual surgical instruments which plays a major role in the virtual liver surgery development.
keywords: CUDA|Bézier curve|interlayer interpolation|surface rendering|three-dimensional reconstruction
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基金项目:国家自然科学基金(61471124);福建省教育厅项目(FBJG20190127);福建省自然科学基金(2016J01293,2017J01107,2018J01787);福建省中青年教师教育科研项目(JA15574);校级国家自然基金校内培育项目(KY2017NS05);校级项目(XJJG201905)
引用文本:
王娜,陈国栋,何汉鑫,徐鲁雄.虚拟手术中肝脏体实时切割系统.计算机系统应用,2020,29(1):59-66
WANG Na,CHEN Guo-Dong,HE Han-Xin,XU Lu-Xiong.Liver Body Real-Time Cutting System in Virtual Surgery.COMPUTER SYSTEMS APPLICATIONS,2020,29(1):59-66
王娜,陈国栋,何汉鑫,徐鲁雄.虚拟手术中肝脏体实时切割系统.计算机系统应用,2020,29(1):59-66
WANG Na,CHEN Guo-Dong,HE Han-Xin,XU Lu-Xiong.Liver Body Real-Time Cutting System in Virtual Surgery.COMPUTER SYSTEMS APPLICATIONS,2020,29(1):59-66