哈尔滨工业大学学报（英文版）2007，Vol.14Issue(1)：9-12,4.
Application of generalized regression neural network on fast 3D reconstruction
Application of generalized regression neural network on fast 3D reconstruction
Babakhani Asad 1DU Zhi-jiang 1SUN Li-ning 1Kardan Reza 2Mianji A. Fereidoun2
作者信息
- 1. Robotics Institute, Harbin Institute of Technology, Harbin 150001, China
- 2. Radiation Protection Department, National Regulatory Authority Organization of Iran
- 折叠
摘要
Abstract
In robot-assisted surgery projects,researchers should be able to make fast 3 D reconstruction. Usually 2D images acquired with common diagnostic equipments such as UT, CT and MRI are not enough and complete for an accurate 3D reconstruction. There are some interpolation methods for approximating non value voxels which consume large execution time. A novel algorithm is introduced based on generalized regression neural network (GRNN) which can interpolate unknown voxles fast and reliable. The GRNN interpolation is used to produce new 2D images between each two succeeding ultrasonic images. It is shown that the composition of GRNN with image distance transformation can produce higher quality 3D shapes. The results of this method are compared with other interpolation methods practically. It shows this method can decrease overall time consumption on online 3D reconstruction.关键词
generalized regression neural network/3D reconstruction/visualizationKey words
generalized regression neural network/3D reconstruction/visualization分类
信息技术与安全科学引用本文复制引用
Babakhani Asad,DU Zhi-jiang,SUN Li-ning,Kardan Reza,Mianji A. Fereidoun..Application of generalized regression neural network on fast 3D reconstruction[J].哈尔滨工业大学学报（英文版）,2007,14(1):9-12,4.
