الفهرس Only 14 pages are availabe for public view
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Abstract
In recent years, microwave has received increasing attention because of its wide spread effect in the biological tissues. One area of applications which still requires more study is the hyperthermia for tumors, specially breast cancer tumors. The phased array applicators playa great role for hyperthermia. Moreover, the phased array is’ used in the detection via the confocal adaptive beamforming imaging methodology.
There are number of different methods of confocal rrucrowave imagmg techniques. Which are represented by mono-static, bi-static, and multi-static. The last technique enhances the imaging resolution for tumor detection
This thesis consists of seven chapters that can be summarized as follows:
Chapter one introduces overview of the kind of hyperthermia and also the kinds of breast cancer detection methodologies. It also introduces a brief summary of the thesis organization
Chapter two presents review of fuzzy and Neuro-Fuzzy system, and creating the membership function of the input data fed to the modeling system
Chapter three is an application on the Neuro-Fuzzy Inference system for obtaining the phases of the applicators to get a desired specific absorption rate (SAR) pattern which is applied for tumor therapy, using two models. The first model is the human brain model and the other is heterogeneous breast model.
The study shows that the design of phased array applicators of four dipoles with Neuro-fuzzy system as a mathematical modeling of biological medium of human brainlbreast can be achieved. The optimization of hyperthermia in the specified locations, which can be used in cancer therapy, will be obtained by feeding the system modeling with the training data to implement the fuzzy inference system (FIS) of the biological model. The desired SAR distribution in human head/breast is obtained and the peak position could be steered for tumor tracing at any location by varying the phases of the dipole applicators.
Chapter four explains the concept of confocal imaging with analogy of radar imaging technique. The basis of the imaging procedure is also introduced. The detection algorithm is investigated
Chapter five investigates the adaptive beamforming method which is us’ signal processing for enhancing the back scattered signal which correspondinJ tumor back scattered signal.
Chapter six introduces a new proposed technique with noninvasive ultra, band (UWB) for tumor cancer detection is investigated. The 2-Dimensions difference time domain (FDTD) model is used to simulate the scat electromagnetic wave from the breast model. The skin backscattering and reflec from surrounding environments is reduced using a new algorithm. Consequent!) resulting signal is passed through the confocal imaging system and a mod adaptive Weighted Cabon Beamforrning. The malignant tumors embedded withi structure of the breast can be detected and localized using the proposed algorithn the modified recursive covariance matrix which enhances the tumor backs cat
signal.
Chapter seven summanzes the obtained conclusions and introc suggestions for future work