Spinal 3D Reconstruction from DICOM Image Sequence

被引：0
|
作者：
Li Jinbo [1 ]
Ma Xiuli [1 ]
Zhou Feng [1 ]
机构：
[1] Shanghai Univ, Sch Commun & Informat, Shanghai, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON APPLIED INFORMATICS AND COMMUNICATION (ICAIC 2012) | 2013年
基金：
中国国家自然科学基金;
关键词：
Spinal; Segmentation; 3D reconstruction;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Due to the limitation of 2D DICOM image sequence in the treatment of Spinal, 3D visualization of image sequence has important significance. In order to reappearance of three-dimensional structure of peripheral nerve, this paper proposes a method using the improved level-set curve evolution model for segmenting two-dimensional DICOM images, which effectively extracts key information of DICOM images. And then, segmented image sequences are made 3D reconstruction through MC algorithm, getting the ideal 3D configurations of the spine and spinal nerve. Experiment shows that the proposed algorithm for segmentation and reconstruction of the spine of the spine and spinal nerve has a good result.
引用
收藏
页码：166 / 171
页数：6
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