基于置信连接的CT血管造影分层可视化研究

doi:10.3969/j.issn.1000-1565.2016.03.015

河北大学学报(自然科学版) ›› 2016, Vol. 36 ›› Issue (3): 312-317.DOI: 10.3969/j.issn.1000-1565.2016.03.015

基于置信连接的CT血管造影分层可视化研究

王光磊,史英杰,苑昊,王洪瑞,刘秀玲

收稿日期:2015-10-12 出版日期:2016-05-25 发布日期:2016-05-25
通讯作者: 刘秀玲(1977-),女,河北沧州人,河北大学教授,博士,主要从事医学图像处理等方面研究.E-mail:liuxiuling121@hotmail.com
作者简介:王光磊(1983-),男,天津人,河北大学讲师,博士,主要从事医学图像处理等方面研究. E-mail:windlay@hotmail.com
基金资助:
国家自然科学基金资助项目(61473112;61203160)

Hierarchical visualization of CT angiography based on confidence-connected

WANG Guanglei,SHI Yingjie,YUAN Hao,WANG Hongrui,LIU Xiuling

Key Laboratory of Digital Medical Engineering of Hebei Province, ElectronicInformation Engineering College, Hebei University, Baoding 071002, China

Received:2015-10-12 Online:2016-05-25 Published:2016-05-25

摘要/Abstract

摘要： 为实现利用CT血管造影技术(CTA)数据构建人体脊柱、血管的分层可视化,充分研究不同组织灰度分布的特征实现典型组织识别,针对组织灰度重叠的关键问题,构建基于置信连接的三维区域生长算法实现重要组织血管和骨骼的剥离,最后用体绘制技术进行三维重建.本文实现了人体腹部皮肤、肌肉、骨骼、血管的分层可视化,各结构可单独显示,可任意旋转,放大缩小.通过调节参数和三维分割技术可以很好地完成分层可视化的目的,可以为医生提供更清晰直观的三维模型.

关键词: CTA, 三维分割, 三维重建, 可视化

Abstract: In order to achieve the hierarchical visualization of the human spine and blood vessels by using the CTA data,the recognition of the typical organization can be realized by properly vtilizing the intensity distribution of different organizations.By tacking the key problem of organization gray level overlapping,the separation of important organizations blood vessels and bone can be realized by three-dimensional region growing algorithm based on confidence-connected.Finally,the three-dimensional reconstruction is performed by volume rendering.The hierarchical visualization of the abdominal skin,muscle,bone and blood vessels is realized,and the structure can be displayed separately,can be freely rotated and zoomed in and out.By adjusting the parameters and three-dimensional segmentation, hierarchical visualization can be easily achieved.So it can provide a more clear and intuitive three-dimensional model for the doctor.

Key words: CTA, three-dimensional segmentation, three-dimensional reconstruction, visualization

中图分类号:

TP399

王光磊,史英杰,苑昊,王洪瑞,刘秀玲. 基于置信连接的CT血管造影分层可视化研究[J]. 河北大学学报(自然科学版), 2016, 36(3): 312-317.

WANG Guanglei,SHI Yingjie,YUAN Hao,WANG Hongrui,LIU Xiuling. Hierarchical visualization of CT angiography based on confidence-connected[J]. Journal of Hebei University (Natural Science Edition), 2016, 36(3): 312-317.

参考文献

[1] 纪建鹏,黎丽华,杨荣骞,等.基于分水岭算法的交互式三维分割方法[J].中国组织工程研究与临床康复,2011,15(39):7351-7354.DOI:10.3969/j.issn.1673-8225.2011.39.033. JI Jianpeng,LI Lihua,YANG Rongqian,et al.Interactive three-dimensional segmentation based on watershed algorithm[J].Journal of Clinical Rehabilitative Tissue Engineering Research,2011,15(39):7351-7354.DOI:10.3969/j.issn.1673-8225.2011.39.033.
[2] 蔡华杰,田金文.三维脑分割中灰度阈值的选取方法[J].武汉理工大学学报,2006,28(4):122-124. CAI Huajie,TIAN Jinwen.3-D segmentation of brain volume thresholding method[J].Journal of Wuhan University of Technology,2006,28(4):122-124.
[3] GORYAWALA M,GULEC S,BHATT R,et al.A Low-interaction automatic 3D liver segmentation method using computed tomography for selective internal radiation therapy[J].BioMed Research International,2014,2014:1-12.DOI:10.1155/2014/198015.
[4] ANDRES B,KOETHE U,KROEGER T,et al.3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries[J].Medical Image Analysis,2012,16(4):796-805.DOI:10.1016/j.media.2011.11.004.
[5] TOP A,HAMARNEH G,ABUGHARBIEH R.Active learning for interactive 3D image segmentation[J].Medical Image Computing and Computer Assisted Intervention,2011,6893:603-610.DOI:10.1007/978-3-642-23626-6_74.
[6] LEVOY M.Efficient ray tracing of volume data[J].ACM Transactions on Graphics,1990,9(3):245- 261.DOI:10.1145/78964.78965.
[7] DREBIN R A,CARPENTER L,HANRAHAN P.Volume rendering[J].Computer Graphics,1988,22(4):65-74.
[8] 石澄贤,王元全,王平安,等.Min/Max曲率流实现图像去噪和增强分析[J].计算机工程与应用,2004,40(5):10-13. SHI Chengxian,WANG Yuanquan,WANG Pingan,et al.Min/Max curvature flow analysis in image enhancement and denoise[J].Computer Engineering and Applications,2004,40(5):10-13.
[9] 王倩,杨春兰,吴水才,等.结合置信连接度的自适应模糊连接度的图像中丘脑分割算法研究[J].北京生物医学工程,2015,34(3):244-250.DOI:10.3969/j.issn.1002-3208.2015.03.05. WANG Qian,YANG Chunlan,WU Shuicai,et al.Segmentation for thalamus and its substructures based on adaptive fuzzy connectedness combined with confidence connectedness[J].Beijing Biomedical Engineering,2015,34(3):244-250.DOI:10.3969/j.issn.1002-3208.2015.03.05.
[10] 宋晓,程明,王博亮,等.置信连接的自动肝脏分割方法[J].计算机辅助设计与图形学学报,2012,24(9):1188-1192. SONG Xiao,CHENG Ming,WANG Boliang,et al.Confidence connected method for automatic liver segmentation[J].Journal of Computer-Aided Design﹠Computer Graphics,2012,24(9):1188-1192.

基于置信连接的CT血管造影分层可视化研究

Hierarchical visualization of CT angiography based on confidence-connected

可视化

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