基于改进光线投射法的冠脉图像三维重建  

3D image reconstruction of coronary angiography based on improved ray-casting volume rendering algorithm

作　　者：王逸夫 王瑜[1] 邢素霞[1] 王怡宁[2] 易妍[2] WANG Yifu;WANG Yu;XING Suxia;WANG Yining;YI Yan(School of Artificial Intelligence,Beijing Technology and Business University,Beijing 100048,China;Peking Union Medical College Hospital,Beijing 100730,China)

机构地区：[1]北京工商大学人工智能学院,北京100048 [2]中国医学科学院北京协和医院,北京100730

出　　处：《中国医学物理学杂志》2021年第4期431-435,共5页Chinese Journal of Medical Physics

基　　金：国家自然科学基金(61671028)。

摘　　要：传统光线投射算法虽然绘制图像时能取得良好的效果,但因为运算速度较慢,限制了其广泛应用。为了在图像三维重建时既能保证质量,又能提高实时交互性,本文提出一种基于改进光线投射算法的冠脉三维重建方法,利用检测原数据点的数据值来简化重采样中三线性插值的复杂性,并结合切比雪夫空体素跳跃法,进一步提高算法的效率。实验结果表明,该算法能够在提高运算速度的同时,保证绘制冠脉三维图像的质量。The traditional ray-casing volume rendering algorithm can achieve good results in image reconstruction,but the slow operation speed limits its wide application.Based on an improved ray-casting volume rendering algorithm,a method for 3D image reconstruction of coronary angiography is proposed to ensure image quality and improve real-time interactivity during 3D image reconstruction.In the proposed method,the values of the detected original data points are used to simplify the complexity of trilinear interpolation during re-sampling,and the efficiency of the algorithm is further improved by combining with Chebyshev empty voxel jumping method.Experimental results show that the proposed algorithm can improve the calculation speed while ensuring the image quality in 3D image reconstruction of coronary angiography.

关 键 词：光线投射算法 冠脉图像 三线性插值 重采样 空体素 

分 类 号：R318[医药卫生—生物医学工程] R445[医药卫生—基础医学]