A Novel MRI Brain Tumor Detection Based on Genetic Algorithm

Image segmentation plays a vital role in medical image analysis and detection. In this paper, automatic brain tumor detection from magnetic resonance image using wavelet based genetic algorithmic approach was implemented. First, the MR images are preprocessed using discrete wavelet transform, and then the genetic algorithm is applied to detect the tumor pixels. All volumes were processed for abnormal classification. Tumor segmentation was performed on the abnormal slices and the results were compared with a ground truth tumor volume. A total of 100 real time data were acquired from magnetic resonance imaging system.