This paper describes a novel framework for automatic
segmentation of primary tumors and its boundary from brain
MRIs using morphological filtering techniques. This method uses
T2 weighted and T1 FLAIR images. This approach is very
simple, more accurate and less time consuming than existing
methods. This method is tested by fifty patients of different
tumor types, shapes, image intensities, sizes and produced better
results. The results were validated with ground truth images by
the radiologist. Segmentation of the tumor and boundary
detection is important because it can be used for surgical
planning, treatment planning, textural analysis, 3-Dimensional
modeling and volumetric analysis
Description:
2012 5th International Conference on BioMedical Engineering and Informatics (BMEI 2012)