3D Reconstruction of encephalic tissue in MRI image using immune Sphere-Shaped SVM

Author

Guo, Lei ; Li, Ying ; Miao, Dongbo ; Yan, Weili ; Shen, Xueqin

Author_Institution

Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China

fYear

2010

fDate

9-12 May 2010

Firstpage

1

Lastpage

1

Abstract

In MRI images, the boundary of each encephalic tissue is highly irregular. Sphere-Shaped Support Vector Machine (SSSVM) has the advantage of solving high non-linearity and irregularity problems. In this paper, SSSVM is applied in brain MRI image 3D reconstruction. Selecting parameters for SSSVM, however, is a complicated problem. Appropriate parameters can make the model more flexible and help to obtain more accurate data description. In this paper, Immune Algorithm (IA) is used in searching for optimal SSSVM parameters. Immune SSSVM (ISSSVM) is proposed to reconstruct 3D model of each encephalic tissue. As shown by the experiment of this study, encephalic tissues are reconstructed efficiently and satisfied accuracies and visual effects are obtained.

Keywords

biological tissues; biomedical MRI; brain; image reconstruction; support vector machines; 3D image reconstruction; Immune Algorithm; SSSVM parameter; brain MRI image; encephalic tissue; immune sphere shaped SVM; sphere shaped support vector machine; visual effect; Brain modeling; Electromagnetic fields; Geology; Image reconstruction; Kernel; Magnetic resonance imaging; Neoplasms; Support vector machine classification; Support vector machines; Visual effects;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on

Conference_Location

Chicago, IL

Print_ISBN

978-1-4244-7059-4

Type

conf

DOI

10.1109/CEFC.2010.5481513

Filename

5481513