基于高斯拉普拉斯的层次剥离体绘制

J4 ›› 2014, Vol. 36 ›› Issue (06): 1148-1153.

基于高斯拉普拉斯的层次剥离体绘制

刘旭江，徐圆，齐宏亮，洪虹，周凌宏

(南方医科大学生物医学工程学院医疗仪器研究所，广东广州 510515)

收稿日期:2012-07-21 修回日期:2013-01-21 出版日期:2014-06-25 发布日期:2014-06-25
基金资助:
国家自然科学基金资助项目(30970866)；广东省战略性新兴产业核心技术攻关(2011A081402003)

Layered peeling algorithm of volume rendering
based on Laplacian of Gaussian

LIU Xujiang,XU Yuan,QI Hongliang,HONG Hong,ZHOU Linghong

(Institute of Medical Equipment,School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,China)

Received:2012-07-21 Revised:2013-01-21 Online:2014-06-25 Published:2014-06-25

摘要/Abstract

摘要：

由于仅修改传递函数很难解决组织间的遮挡问题，尤其是同种组织间的遮挡问题。采用边缘检测的原理确定不同组织间的分层点，并针对基于梯度的层次剥离体绘制难于选择合适的梯度阈值的缺点，提出通过判断图像二阶导数过零点的方法，确定不同组织的分层点。同时，为了达到实时效果，通过图形处理器对算法加速，实现实时绘制的效果。实验结果表明，该算法能够自动地并实时地实现体绘制的分层显示，显示结果较清晰。

关键词: 图形处理器, 高斯拉普拉斯, 光线投射

Abstract:

It is difficult to solve the problem of interorganizational occlusion by only modifying the transfer function, especially the occlusion between the same kind of tissues. The principle of edge detection is used to solve the problem above. In order to conquer the shortcoming that the gradientbased layered peeling algorithm of volume rendering is difficult to choose the right gradient threshold, a method is proposed to judge the zerocrossing of the second derivative of the image and to determine the layered points of different organizations. For the sake of achieving the realtime effect, graphic processing unit is used to accelerate the algorithm. The experimental results show that the algorithm can provide a clear and realtime layered display of volume rendering automatically.

Key words: graphic processing unit;Laplacian of Gaussian;raycasting

刘旭江，徐圆，齐宏亮，洪虹，周凌宏. 基于高斯拉普拉斯的层次剥离体绘制[J]. J4, 2014, 36(06): 1148-1153.

LIU Xujiang,XU Yuan,QI Hongliang,HONG Hong,ZHOU Linghong. Layered peeling algorithm of volume rendering
based on Laplacian of Gaussian [J]. J4, 2014, 36(06): 1148-1153.

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