Indian Journal of Science and Technology
Year: 2009, Volume: 2, Issue: 2, Pages: 11-15
Rajeev Ratan1 , Sanjay Sharma2 and S. K. Sharma3
1Department of E & IE, Apeejay College of Engineering, Sohna, Gurgaon, Haryana, India.
2Department of ECE, Thapar University, Patiala, Punjab. India.
3Department of ECE, Apeejay College of Engineering, Sohna, Gurgaon, Haryana
*Author for the correspondence:
Department of ECE,
Thapar University, Patiala, Punjab. India
E-mail: [email protected]
In this paper, a method for segmentation of brain tumor has been developed on 2D-MRI data which allows the identification (10-15 minutes operator time) of tumor tissue with accuracy and reproducibility comparable to manual segmentation (2-6 hours operator time) making the automatic segmentation practical reality for malignant tumors. In this scheme, after a manual segmentation procedure the tumor identification has been made for the potential use of MRI data for improving the approximate brain tumor shape and 2D visualization for surgical planning.
Keywords: Brain tumor, MRI, MATLAB.
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