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Research Paper | Physics Science | India | Volume 4 Issue 5, May 2015 | Rating: 6.7 / 10

Implementation of Edge Detection Technique for Identification and Evaluation of Brain Tumor Metrics in MR Image through Lab VIEW

S. Sunita Ratnam | D. Suresh Kumar ^[2] | K. Madhukar

Abstract: In this paper the authors present the development of an algorithm based on the Edge Detection Technique for Automatic Detection of Brain Tumors in MR Images of the Brain and their Quantification. The basic Edge detection technique is primarily based on the abrupt changes in the intensities between the tumor and the brain regions, identified through gradient operations. This is implemented through Vision Assistant tool box in Lab VIEW 12. The authors have proposed an algorithm which is implemented through Canny Edge Detector. The results of the measurements of maximum width, maximum length and the areas of the tumor and the brain obtained by the algorithm on the Ground truth image are in good agreement within 3 % error, establishes that the proposed algorithm by the authors yields reliable results. Hence, this algorithm is implemented on 12 different patients through Lab VIEW. The results of the analysis are automatically evaluated and metricized.

Keywords: Edge detection technique, Ground Truth Image, Image Segmentation, Brain Tumor Detection, Quantification, Lab VIEW, Vision Assistant

Edition: Volume 4 Issue 5, May 2015,

Pages: 2331 - 2337