| Περίληψη: | In Nuclear Medicine, hybrid imaging is used to provide images of both anatomical and functional information. PET-CT is an example of a hybrid imaging modality that combines X-ray Computed Tomography (CT) and Positron Emission Tomography (PET). The scan’s data give information about the functional activities of interest and simultaneously about the localization in the human body.
Quality Control (QC) is a group of actions that is implemented in the Nuclear Medicine Departments in order to guarantee the quality of the equipment and ensure that it operates well. Quality Control tests must be carried out annually, monthly, or daily.
The theoretical part of this Thesis consists of an introduction to Nuclear Medicine and chapters about imaging modalities, such as CT, PET, and SPECT, and hybrid imaging modalities, such as PET-CT, PET-MRI, and SPECT-CT. It also includes chapters about testing processes, Quality Assurance and Quality Control. The research methodology part details all the processes that took place to develop a code that aids in the daily Quality Control for PET-CT modalities.
The objective of this Thesis is to create a tool, using the Python programming language, that calculates all the quantities that need to be checked during the daily Quality Control processes, in order to come to a conclusion about the imaging modalities’ operation. All the essential data are phantom CT scans and are provided by the General University Hospital of Patras.
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