MRI的脑部肿瘤分割及其三维重建

doi:10.3969/j.issn.0255-8297.2018.05.008

Abstract

Abstract: Analysis on the accurate segmentation and 3D reconstruction of brain tumors are important for the diagnosis of brain tumor diseases. This paper presents an automatic segmentation method for brain tumors. According to the symmetry of human brain structure information, a rough segmentation of brain tumor can firstly be realized by region growing method, and then taken as the initial level set contour for the further accurate segmentation by means of geodesic active contour (GAC) model. Experimental analysis shows that the model has good weak-edge ability on segmenting uneven gray scale. Finally, surface rendering, reconstruction and visualization of the segmented brain tumor sequence images are carried out to provide more dimensional information for brain tumor research.

Key words: geodesic active contour (GAC) model, surface rendering, brain tumor, region growing method

CLC Number:

TP391

HOU Dong-ao, LU Yu-ming, WANG Yu-ling, LIU Wu. MRI-Based Segmentation and Three-Dimensional Reconstruction of Brain Tumor[J]. Journal of Applied Sciences, 2018, 36(5): 808-818.

References

[1] Joseph R P, Singh C S, Manikandan M. Brain tumor MRI image segmentation and detection in image processing[J]. Internation Journal of Research in Engineering and Technology, 2014, 3(1):1-5.
[2] 戴修斌,邓黄健,刘代富,刘可,周青蓉. 利用群体CT计划图像的多任务前列腺自动分割[J]. 应用科学学报, 2017, 35(1):99-106. Dai X B, Deng H J, Liu D F, Liu K, Zhou Q R. Using the group image automatic segmentation of multitasking prostate CT plan[J]. Journal of Applied Sciences, 2017, 35(1):99-106. (in Chinese)
[3] Gupta M, Gayatri K S, Harika K. Brain tumor segmentation by integrating symmetric property with region growing approach[C]//IEEE India Conference. IEEE, 2015:1-5.
[4] Ben R A, Benzarti F, Amiri H. Segmentation of brain MRI using active contour model[J]. International Journal of Imaging Systems & Technology, 2017, 27(1):3-11.
[5] Pydi V, Josyula S B. Detection of brain tumor using PCA with SVM[J]. International Journal of Research in Computer and Communication Technology, 2015, 4(8):535-539.
[6] Bendib M M, Merouani H F, Diaba F. Automatic segmentation of brain MRI through stationary wavelet transform and random forests[J]. Pattern Analysis & Applications, 2015, 18(4):829-843.
[7] Pereira S, Pinto A, Alves V, Silva C A. Brain tumor segmentation using convolutional neural networks in MRI images[J]. IEEE Transactions on Medical Imaging, 2016, 35(5):1240-1251.
[8] Sustersic T, Peulic M, Filipovic N, Peulic A. Application of active contours method in assessment of optimal approach trajectory to brain tumor[C]//International Conference on Bioinformatics and Bioengineering. IEEE, 2015:1-4.
[9] Dodin P, Martel-Pelletier J, Pelletier J P, Abram F. A fully automated human knee 3D MRI bone segmentation using the ray casting technique[J]. Medical & Biological Engineering & Computing, 2011, 49(12):1413-1424.
[10] Neves A M A, Ferreira A J M, Carrera E, Roque C M C, Cinefra M. A quasi-3D sinusoidal shear deformation theory for the static and free vibration analysis of functionally graded plates[J]. Composites Part B Engineering, 2012, 43(2):711-725.
[11] 刘思奇,张来峰,范立成,盛小明. 基于医学图像序列面绘制的骨组织快速成型方法[J]. 计算机应用, 2017, 37(5):1456-1459. Liu S Q, Zhang L F, Fan L C, Sheng X M. Based on medical image sequence of bone tissue rapid prototyping method[J]. Journal of Computer Applications, 2017, 37(5):1456-1459. (in Chinese)
[12] Gai L I. The comparison research of MC algorithm and MT algorithm[J]. Modern Computer, 2007, 251:19-23.
[13] 李丹仪,李卫锋,廖庆敏. 基于对称信息和主动轮廓模型的脑肿瘤分割系统[J]. 清华大学学报(自然科学版), 2013(7):995-1000. Li D Y, Li W F, Liao Q M. Based on the asymmetric information and active contour model of brain tumor segmentation system[J]. Journal of Tsinghua University (Science and Technology), 2013(7):995-1000. (in Chinese)
[14] Zabir I, Paul S, Rayhan M A, Sarker T, Fattah A S, Shahnaz C. Automatic brain tumor detection and segmentation from multi-modal MRI images based on region growing and level set evolution[C]//IEEE International Wie Conference on Electrical and Computer Engineering. IEEE, 2016:503-506.
[15] Caselles V, Kimmel R, Sapiro G. Geodesic active contours[J]. International Journal of Computer Vision, 1997, 22(1):61-79.

MRI-Based Segmentation and Three-Dimensional Reconstruction of Brain Tumor

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	YAO Rujing, YANG Lei, YANG Tao, HU Yingxin, TIAN Qiang, WU Ou. Analysis for Psychological Scale Big Data Based on Improved Ising Model [J]. Journal of Applied Sciences, 2020, 38(3): 339-352.
[2]	JIANG Qinyin, ZHANG Xi. Topic-Specific Assessment Approach for Social Network Influence Evaluation [J]. Journal of Applied Sciences, 2020, 38(3): 353-366.
[3]	ZHANG Tongtong, DONG Junyu, ZHAO Haoran, LI Qiong, SUN Xin. Lightweight Phytoplankton Detection Network Based on Knowledge Distillation [J]. Journal of Applied Sciences, 2020, 38(3): 367-376.
[4]	WEI Ziyang, ZHAO Zhihong, ZHAO Jingjiao. Improved Faster R-CNN Algorithm and Its Application on Vehicle Detection [J]. Journal of Applied Sciences, 2020, 38(3): 377-387.
[5]	SUN Ronghai, SHI Linfu, YU Chunqiang, LAO Huan, TANG Zhenjun. Random Interpolation Method for Data Hiding in Encrypted Images [J]. Journal of Applied Sciences, 2020, 38(3): 419-430.
[6]	WANG Daqian, CUI Rongyi, JIN Jingxuan. Text Detection in Natural Scene Based on Visual Attention Model and Multi-scale MSER [J]. Journal of Applied Sciences, 2020, 38(3): 496-506.
[7]	YANG Gaoqiang, LI Sheng, ZHANG Xinpeng. Altered Fingerprint Detection Based on Orientation Field [J]. Journal of Applied Sciences, 2019, 37(6): 775-782.
[8]	YU Shuzhen, OU Qiaofeng, XIONG Bangshu, CHEN Yaofeng. A Calibration Method Based on Defocused Image for Stereo Vision Sensor with Large FOV [J]. Journal of Applied Sciences, 2019, 37(6): 795-805.
[9]	CUI Sanshuai, MAO Maoyu, LIN Xiaodan, KANG Xiangui. Survey on Analysis and Applications of Electric Network Frequency (ENF) Signals in Image and Video [J]. Journal of Applied Sciences, 2019, 37(5): 573-589.
[10]	LIU Wei, ZHANG Wanling, XIANG Shijun. Face Anti-spoofing Based on LBP, Multilayer DCT and CNN [J]. Journal of Applied Sciences, 2019, 37(5): 609-617.
[11]	QU Lingfeng, CHEN fan, HE Hongjie, YUAN yuan. Security Analysis of Image Encryption Algorithm Based on Bit Plane-Pixel Block Scrambling [J]. Journal of Applied Sciences, 2019, 37(5): 631-642.
[12]	ZHAO Yan, ZHOU Xiaowei, SHEN Qi. Compact Image Hashing Algorithm Based on Opposite Color and Salient Region [J]. Journal of Applied Sciences, 2019, 37(5): 691-703.
[13]	ZHANG Yongsheng, TIAN Huawei, XIAO Yanhui, HAO Xinze, ZHANG Mingwang. PRNU Extraction Algorithm Based on Trilateral Weighted Sparse Coding Model [J]. Journal of Applied Sciences, 2019, 37(5): 704-710.
[14]	ZHU Yiming, CHEN Fan, HE Hongjie, CHEN Hongyou. Orthogonal GAN Information Hiding Model Based on Secret Information Driven [J]. Journal of Applied Sciences, 2019, 37(5): 721-732.
[15]	WANG Junxiang, MAO Ningxiong, ZHAO Yi, WANG Chuntao. Large Color Image Based High-Performance Reversible Data Hiding Hcheme for Various Capacities [J]. Journal of Applied Sciences, 2019, 37(5): 744-760.