Simulation, visualization and image quality analysis of cardiac interventional X-ray

Magallón Baro, Alba

Simulation, visualization and image quality analysis of cardiac interventional X-ray

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Citació

Magallón Baro, A. Simulation, visualization and image quality analysis of cardiac interventional X-ray. 2014. handle: http://hdl.handle.net/10230/22891

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Resum

Spatial resolution, noise, contrast or geometric distortion, are some of the principal factors that determine X-ray imaging quality. By adjusting various parameters of the medical imaging system, such as the tube voltage, the tube current, geometric distances/nor the angle of view, it is possible to control the presence of a particular electromagnetic radiation: the scattered radiation. Such radiation contributes to a reduction of contrast and adds noise; in consequence, the contrast-to-noise ratio gets worse and the image quality degrades. The main goal of this thesis is to understand the physical phenomenon behind X-rays and how the aforementioned parameters influence the final images in the presence of scattered radiation. For creating the X-ray images, a simulation tool developed in Philips Research called Diphos (Diagnostic Photon Simulation) for acquiring primary and scatter radiation is used. For reproducing other sources of image quality degradation coming from the medical system itself, such as photon noise, electronic noise or the detector blurring, Matlab has been used. In parallel, a visualization tool for Google SketchUp has been designed in order to depict the simulated scenarios. Hence, the study consists of the simulation, visualization and image quality analysis of X-ray images. As a clinical scenario, cardio imaging was used, with the aim of visualizing as good as possible the coronary arteries.