الفهرس 
الغلافOnly 14 pages are availabe for public view
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Abstract
Patients having unrecognized intracranial InJunes or tumors may develop permanent brain damage, severe disability, or death. Early diagnosis and treatment of intracranial hematomas and tumors are essential for improving patient outcomes. The current method used to identify intracranial hemorrhage and tumors are computed tomography (CT), and Magnetic Resonance Imaging (MRI).
This thesis aims at study the ability of Ultra Wide Band (UWB) signals in detecting the hematoma and tumor in human head. The features of UWB are very vast / fast with very low power density; it gets its input in the form of very narrow pulse ranges from lOOps to a few nanoseconds. Due to the low density of power the tissues don’t get ionized. The bandwidth is more than 20% of the center frequency or more than 500MHz. The average power spectral density should not exceed -41.3dBm/MHz frequency range use in the medical applications should be between 3.1 to 10.6 GHz.
The head model is divided into seventeen different tissue types, Skin, Fat, Bone, Cerebro-Spinal-Fluid (CSF), White matter, Grey matter, Cerebellum, Dura, Cartilage, tongue, Sclera, Vitreous Humor, Eye Lens, Muscles, Blood, Spinal Cord (nerve), and Sinuses (air). Each layer in the model is assigned specific dielectric properties (at 3.1 to 9 GHz) according to the tissue types
This model is proposed to study, the effect of the internal bleeding and tumor of brain on the characteristics of the reflected and transmitted ultra wide band waves from the brain model, the actual phantom head model has been designed by CST MICROWA VE STUDIO.