Hierarchical visualization of CT angiography based on confidence-connected

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

Abstract

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

CLC Number:

TP399

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.

References

[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.

[1]	CHE Xuan, LIU Delu, QIAO Xiaoqiang. Preparation and chromatographic properties of silica gel chromatographic stationary phase modified with N,N-dimethyloctadecan-1-amine [J]. Journal of Hebei University(Natural Science Edition), 2023, 43(1): 40-47.
[2]	QIAO Xiaoqiang, NIE Yangyang, DUAN Liguang, LIANG Mengying. Fluorinated surfactant modified silica gel chromatographic stationary phase: preparation and its separation performance [J]. Journal of Hebei University(Natural Science Edition), 2021, 41(5): 528-534.
[3]	YANG Xiaohui, SUN Ying. A survey on user behavior of social network based on knowledge graph [J]. Journal of Hebei University(Natural Science Edition), 2021, 41(1): 77-86.
[4]	ZHANG Ke, LI Linqian, SUN Yifei,WANG Qian, GAO Yan,ZHANG Haisong. Research progress of three-dimensional visualization in the field of kidney [J]. Journal of Hebei University (Natural Science Edition), 2019, 39(4): 444-448.
[5]	DU Xuehong,XIN Xiaoying,WANG Jipeng,ZHANG Hongyi,YANG Bing. Determination of anthraquinones in urine samples by pH-dependent solidified floating liquid-liquid microextraction-HPLC [J]. Journal of Hebei University (Natural Science Edition), 2018, 38(6): 596-602.
[6]	ZHANG Honglei,PEI Chaohong,ZHANG Chao,HAN Mengnan,XU Zhidong,LI Wei. Over-expression and characterization of a carbonyl reductase gene from Yarrowia lipolytica [J]. Journal of Hebei University (Natural Science Edition), 2018, 38(2): 168-176.
[7]	WANG Xizhao, ZHAO Shixin. Expectation reduction-based fuzzy nonlinear regression [J]. Journal of Hebei University (Natural Science Edition), 2018, 38(1): 89-98.
[8]	WANG Yansu, ZHAN Yali, YAN Xiyang. Preparation of N doped three dimensional graphene and its electrochemical performance [J]. Journal of Hebei University (Natural Science Edition), 2017, 37(5): 483-488.
[9]	LUO Wenjie,YUAN Fang,YANG Xiudan. Building platform for optimizing E-government business using big data analysis based on modeling technique [J]. Journal of Hebei University (Natural Science Edition), 2017, 37(1): 101-107.
[10]	ZHANG Wenjing,FENG Zhigang. Variation of recurrent fractal interpolation surface [J]. Journal of Hebei University (Natural Science Edition), 2016, 36(4): 349-352.
[11]	MU Shumei,FAN Gaojun,ZHANG Caida,WANG Hailing,KANG Xianjiang. Effects of atrazine on the enzymatic activities of LDH and ACP in spermatozoa of Eriocheir sinensis [J]. Journal of Hebei University (Natural Science Edition), 2016, 36(2): 162-168.
[12]	WANG Guanglei,YUAN Hao,WEI Shuai,SHI Yasong,LIU Xiuling. A novel sequence aorta CTA image segmentation algorithm based on region growing and clustering [J]. Journal of Hebei University (Natural Science Edition), 2015, 35(6): 644-650.
[13]	WANG Lanxun,MENG Xiangya,TONG Jingli. Modulation signals recognition based on SNR estimation and box dimension [J]. Journal of Hebei University (Natural Science Edition), 2014, 34(6): 656-661.
[14]	LI Caifeng,XU Chuang,FENG Yun,PAN Yongqiang,LI Ximing. Screening and evaluation of degrading bacteria using heavy oil as sole carbon source [J]. Journal of Hebei University (Natural Science Edition), 2014, 34(4): 405-409.
[15]	ZHANG Weina,YIN Yongquan,RAN Deqin,CUI Zhaojie. Remediation of crude oil contaminated soil by the synergistic of anionic and nonionic surfactants [J]. Journal of Hebei University (Natural Science Edition), 2014, 34(3): 279-283.