Separation and visualization of arteries and heart in 3D computed tomography angiography images
Separation and visualization of arteries and heart in 3D computed tomography angiography images
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DOI：
10.1007/s12204-017-1792-x
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发表时间：
2017-01
影响因子：
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通讯作者：
Shouren Lan;Chaoyi Cui;Xin Liu;Shane Johnson;Jialiang Su;Benzhi Chen;Lisheng Wang
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文献类型：
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作者：
Shouren Lan;Chaoyi Cui;Xin Liu;Shane Johnson;Jialiang Su;Benzhi Chen;Lisheng Wang
动脉和心脏的可视化通常在临床诊断中发挥着至关重要的作用，但研究人员在临床可视化中面临区域选择和相互遮挡的问题。因此，通过当前的可视化方法无法轻松地可视化动脉和心脏。为了解决这些问题，我们通过结合先验知识和集合操作，提出了一种新的动脉和心脏可视化框架。首先，利用先验知识和视觉反馈结果可以很容易地在传递函数空间中确定合适的区域。其次，通过标记的种子点可以直接提取动脉和心脏。最后通过设定的操作将动脉和心脏分开，解决相互闭塞的问题。该框架可以轻松解决临床可视化中的相互遮挡问题，并大大改进传递函数空间中的区域选择方法。其有效性已在许多实验结果的基础上得到证明。
The visualization of arteries and heart usually plays a crucial role in the clinical diagnosis, but researchers face the problems of region selection and mutual occlusion in clinical visualization. Therefore, the arteries and the heart cannot be easily visualized by current visualization methods. To solve the problems, we propose a new framework for arteries and cardiac visualization by combining a priori knowledge and the set operations. Firstly, a suitable region can be easily determined in the transfer function space with a priori knowledge and the visual feedback results. Secondly, the arteries and the heart can be directly extracted by the marked seed point. Finally, the arteries and the heart are separated for solving mutual occlusion through the set operations. This framework can easily solve the mutual occlusion problem in clinical visualization and greatly improve the region selection method in the transfer function space. Its effectiveness has been demonstrated on the basis of many experimental results.