摘要
目的对高分辨率体数据实现高质量的实时三维表面浏览。方法本算法用结合阈值和形态学的分割方法提取体数据中单个器官的三维表面点集,再根据体数据中灰度梯度得到表面点的法向量。通过用表面点代替三角形面片来描述器官表面,在用户定义器官表面的颜色和透明度后,利用显卡OpenGL接口对表面点集进行三维显示。结果在微机环境下对中国数字人男性一号的CT数据集的骨骼和体表进行了三维重建,在保证图像质量的前提下重建速度超过25帧/s。结论本文提出的三维表面重建算法能对512×512×1720的高分辨率体数据进行高质量的实时三维表面浏览。
Objective： To develop a way of high-quality real-time three dimension surface reconstruction for high-resolution volume data. Method 3D surface point sets of single organ were using a method of binding the threshold and morphological operations. The normal vector of every surface point was calculated. According to the gray gradients of volume data, the triangle face was replaced by surface points to describe the organ surface, and the surface was displayed with OpenGL interface of display card after defining the color and transparent of the organ surface. Result Based on hardware platform of personal computer, the reconstruction of skeleton and skin for the digitized virtual Chinese man No. 1 （VCH-MI） from CT database was constructed, the rendering speed was faster than 25 F/s. Conclusion The algorithm is capable of realizing a real-time rendering for 512 × 512 × 1720 high resolution volume data.
出处
《航天医学与医学工程》
CAS
CSCD
北大核心
2006年第2期143-146,共4页
Space Medicine & Medical Engineering
基金
中国博士后科学基金资助(2004036471)
