Two phase MRI segmentation method for brain tumor extraction

Accurate and timely detection of brain tumor can help patients to choose the kind of treatment and follow-up process and also has a very high impact on the treatment success rate. In this study, a two- phase segmentation method for accurate detection of tumor in the brain magnetic resonance images is provided. In the first stage, after performing the necessary pre-processing schemes on the image, location of the tumor using a threshold-based segmentation method is characterized and secondly, in a marker-based watershed segmentation method is used. Given that in the first stage is not too much emphasis on accurate detection of the tumor area, selecting the threshold values in a wide range of values, will not affect the final results. In the second stage, marker -based segmentation method will lead to accurate detection of the tumor area. The implementation results show that the proposed method in a wide range of input parameters leads to the same accurate results.