Visualization of human brain structure In medical images through dyadic Wavelet transform and cat swarm Optimization algorithm

Abstract

Medical imaging instruments such as Computed Tomography (CT) newlineand Magnetic Resonance (MR) provide clear images of human organs. CT newlineand MR images are obtained through digital radiographic equipment, for newlinescanning different regions of the human body such as the brain, chest, newlineabdomen, knee, and foot. Computed Tomography (CT) and Magnetic newlineResonance Imaging (MRI) of brain images are used for assessing newlineabnormalities such as tumors, lesions, structural abnormalities such as newlineosteomas, homoplastic osteoma, eteroplasticosteoma, intracranial tumour, newlineinjuries, and infections in the human body. CT and MRI images are used for newlineevaluating growth of disease such as tumors, clots, and lesions in human newlinebrain. The CT and MRI as a single modality never show accurate and newlinecomprehensive information of brain structures. The brain shape, size and newlinefeatures become blur due to artifacts, noise in brain image. The artifacts and newlinenoise in brain image includes beam hardening, motion, scatter, helical and newlinemetals. Radiologist acquires multiple scanned images to visualize noise free newlinegeometrical features of brain region. The noise is reduced using image newlinesegmentation, and geometrical features are visualized in brain image. newlineThe performances of segmentation technique such as Particle newlineSwarm Optimization (PSO), Fuzzy are poor due to low contrast, low newlineresolution images and artifacts present over in boundaries of brain region. The newlineboundary regions in brain are never represented accurately due to shape, intra newlineand inter observer reliability. The boundary region of brain and location can newlinebe determined by foreground and background projection. The projection newlineshows location of lesion, ablation, and PterygoMaxillary Fissure (PMF) shape newlinein scanned brain images. However, artifacts in CT and MRI images degrade newlineaccurate visualization of shape and edge of brain regions. newline