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    Recognition of Dust Sources of Lake Urmia Basin (Remote Sensing) and its Relationship with Climate and Meteorological Parameters

    , M.Sc. Thesis Sharif University of Technology Ramezanpoor, Reyhaneh (Author) ; Moghim, Sanaz (Supervisor)
    Abstract
    Lake Urmia, the largest domestic lake in Iran due to climate change and lack of attention to sustainable development in the past two decades, has lost a significant part of its area. The contaminated bed of dried lakes is one of the main centers of dust generation.These materials are transported along with the wind to distant areas and have an irreversible impact on human health and the environment, so it is very important to determine the sources of dust production on the lake of Urmia to reduce the adverse effects of it.In this study, after determining the arid areas in the Lake Urmia basin using the Angstrom Exponent (AE) and the Aerosol Optical Depth (AOD), an index has been introduced... 

    Enhancement Of the Quality In PET Brain Images Using AutoGANcoder Algorithms

    , M.Sc. Thesis Sharif University of Technology Razavi Satvati, Reyhaneh Sadat (Author) ; vosoughi, Naser (Supervisor) ; Ghafarian, Pardis (Co-Supervisor) ; Attari, Ali Akbar (Co-Supervisor)
    Abstract
    Positron Emission Tomography (PET) is a cutting-edge medical imaging technique that enables the examination of functional activities in different regions of the body, particularly the brain. This technique involves injecting a radiopharmaceutical into the body, which emits gamma rays that are subsequently detected by the PET scanner to generate images. However, a significant challenge in PET imaging is the degradation of image quality due to noise and photon scattering, which can lead to diagnostic errors, especially in sensitive applications such as detecting brain diseases. Various image reconstruction techniques have been developed in the past to mitigate attenuation and scattering...