Date of Award
Master of Science in Engineering
Electrical and Computer Engineering
Dr. Ikhlas Abdel-Qadar
Dr. Raghvendra Gejji
Dr. Jareer Abdel Qader
Brain tumor, MRI, edge detection, segmentation, morphological operations
Masters Thesis-Open Access
Detecting the precise boundary of the area containing a recognized brain tumor is a complex problem and must be addressed since it applies to many medical modalities and tumor types. The objective of this thesis is to provide an efficient algorithm for detecting edges of brain tumors to help neurosurgeons identify the border of the critical area and distinguish the precise margin of the tumor from the rest of the brain tissue during the surgery. This thesis work exploits MRI brain tumor images as a tool to aid surgeons. MRI image segmentation is an essential step as a preliminary process to localize the region of interest, which is the brain tumor region. This work proposes a new method using morphological operators and utilizing an erosion process to identify and extract the boundary of a brain tumor. Using abnormal images of a variety of brain tumors, this study shows that the proposed algorithm provides a robust method in terms of accuracy and computation time, making it suitable for real-time processing. Results also show that this algorithm is capable of producing one-pixel-width continuous edges as well as accurate positioning of abnormal cells. This study also presents the results of a comparative study of its proposed method and common edge detection techniques such as Sobel, Robert, Prewitt, Canny and Cellular Automata.
AlAzawee, "Computer Aided Brain Tumor Edge Extraction Using Morphological Operations" (2015). Master's Theses. 650.