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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 9
2849-2855

Brain glioma segmentation for multi-modality MR images based on gray level histogram and cellular automata

Yi Fei1
Gong Jing1
Duan Huihong1
Su Guanqun1
Tian Hailong2
Nie Shengdong1
1. Institute of Medical Imaging Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
2. Neurosurgery Department, Qilu Hospital of Shandong University(Qingdao), Shandong Qingdao 266035, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0193

Abstract

The fuzzy and complex glioma boundary can cause inaccurate segmentation of the glioma. In order to solve this problem, this paper proposed a new glioma segmentation algorithm combining GLH with improved cellular automaton. Firstly, this method fused T2-weighted and fluid attenuated inversion recovery MR images of brain glioma. Then, it used the histogram feature to enhance glioma region. And, it calculated the weighted distance eigenvector of glioma images. Finally, it utilized the improved algorithm of cellular automata to obtain the segmentation result of glioma tissues. It separately segmented twenty groups of brain tumor segmentation database data and ten groups of clinical glioma data. The average segmentation accuracy rate of the entire tumor area and core tumor area reached to 90.76% and 89.73% respectively. The experimental results show that compared with the contrast method, the proposed algorithm can better segment the glioma region with obvious contrast. And it solves the problem of inaccurate segmentation due to the fuzzy glioma region to some extent. While, it also improves the accuracy and robustness without increasing the complexity.

Foundation Support

山东省重点研发计划项目(2018GSF118107)
国家自然科学基金资助项目(60972122)
上海市自然科学基金资助项目(14ZR1427900)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0193
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Technology of Graphic & Image
Pages: 2849-2855
Serial Number: 1001-3695(2019)09-062-2849-07

Publish History

[2019-09-05] Printed Article

Cite This Article

衣斐, 龚敬, 段辉宏, 等. 结合灰度直方图和细胞自动机的多模态MRI脑胶质瘤分割 [J]. 计算机应用研究, 2019, 36 (9): 2849-2855. (Yi Fei, Gong Jing, Duan Huihong, et al. Brain glioma segmentation for multi-modality MR images based on gray level histogram and cellular automata [J]. Application Research of Computers, 2019, 36 (9): 2849-2855. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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