Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 17, Pages: 1-10
Madhulika Bhatia1* , Abhay Bansal 1 , Divakar Yadav2 and Priya Gupta3
1 Department of Computer Science and Engineering, Amity University - 201303, Uttar Pradesh, India; [email protected], [email protected], [email protected]
2 Department of Computer Science and Engineering, Jaypee University, 201301, Uttar Pradesh India; [email protected]
3 JS Hospital, Sector 132, Noida - 201301, Uttar Pradesh, India; [email protected]
Background//Objectives: To analyze Brain MRI Images using Statistical techniques like Chi-square Automatic Interaction Detector (CHAID). The approach would help the researchers and doctors to automate the analysis of brain MRI images to classify the tumor from non tumor images to enhance the medical care. Method/Statistical Analysis: A novel approach is developed to detect grey matter so that tumor brain images can be classified from non tumor brain MRI images. Preprocessing of images, displaying of grey matter, segmentation, Grey matter extraction is done in Matlab environment. Classification of Brain MRI Images on the basis of Grey matter extracted is done using CHAID in XLSTAT tool. The novel approach uses the benefits of preprocessing methods and filters available in Matlab for effective extraction and analysis Brain MRI Images. Results/Findings: The work has been tested on 50 variables on seven patients. Out of seven three belong to healthy group and rest to unhealthy. The work is evaluated using classification tree, confusion matrix and ROC curve generated after CHAID analysis. The brain images are taken from the BRAINIX database. Conclusion/Application: It is easy to use the approach thereby providing an easy option to be used in hospitals and medical centers for the aid of the physicians.
Keywords: CHAID, Image Processing, Medical Images, Statistics
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