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Journal of Applied Sciences >

2018 , Vol. 36 >Issue 5: 808 - 818

DOI: https://doi.org/10.3969/j.issn.0255-8297.2018.05.008

Signal and Information Processing

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

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  • 1. College of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, Nanchang 330063, China;
    2. School of Information Engineering, East China University of Technology, Nanchang 330013, China;
    3. School of Medicine, Yale University, Connecticut 06511, United States

Received date: 2017-07-30

  Revised date: 2017-09-08

  Online published: 2018-09-30

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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

Cite this article

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 . DOI: 10.3969/j.issn.0255-8297.2018.05.008

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