Detection of Progression of Lesions in MRI Using Change Detection
Change detection is a process of identifying the changes in a state of an object over time. We use the phenomena of change detection to detect the changes occurring in MRI of brain having cancerous and non cancerous lesions. A Hybrid Particle Swarm Optimization algorithm that incorporates a Wavelet theory based mutation operation is used for segmentation of lesions in Magnetic Resonance Images. The segmented lesions are the Region of Interest. This method of using change detection algorithm would be helpful in detecting changes in Region of Interests of MRI with lesions and also to view the progress of treatment for cancerous lesions.
KeywordsRegion of Interest Particle Swarm Optimization Magnetic Resonance Imaging Entropy Multi-resolution Wavelet Analysis Hybrid Particle Swarm Optimization Wavelet Mutation
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