摘要
随着脑图谱在神经外科手术的教学与应用中起到越来越重要的作用,脑图谱的三维重建成为了脑图谱研究的一个主要方向。针对MarchingCubes算法在提取脑图谱数据等值面效率低下的问题,通过对MarchingCubes算法的遍历方法和拓扑结构的研究,提出一种适用于脑图谱三维重建的改进算法,采用该改进算法实现脑图谱三维重建系统。并以Brainnetome Atlas脑图谱数据作为实验数据对系统效率进行测试,实验结果表明,相对于原始算法,改进算法确实提高了三维重建系统处理脑图谱数据的效率。
Along with that brain atlas plays more and more important role in teaching and application of neurosurgery operation,3D reconstruction of brain atlas has become a major research direction of brain atlas. In order to improve the efficiency of MarchingCubes algorithm in extracting isosurface of brain atlas data,we propose an improved algorithm suitable for 3D reconstruction of brain atlas through the study on the traversal method and topological structure of MarchingCubes algorithm,and realise the brain atlas 3D reconstruction system based on the improved algorithm. We use brain atlas data of Brainnetome Atlas as the experimental data to test the efficiency of the system,experimental results show that relative to original algorithm the improved algorithm really improves the efficiency of 3D reconstruction system in processing brain atlas data.
出处
《计算机应用与软件》
CSCD
2016年第4期177-182,186,共7页
Computer Applications and Software
基金
国家自然科学基金项目(61373101)
山西省自然科学(青年科技研究)基金项目(2014021022-5)
山西省科技攻关项目(20130311037-4)
