Metody pro odstranění rušení pro potřeby fetální MRI

Abstract

This master´s thesis focuses on fetal magnetic resonance imaging (MRI), a diagnostic method used to visualize the internal structures of the fetus. It is particularly valuable for detecting congenital abnormalities anomalies and other pathologies. In fetal MRI, minimizing motion artifacts is crucial to ensure image quality and accuracy. Motion artifact compensation is essential in this examination, and several techniques are employed to minimize these artifact. This thesis introduces several such techniques. One of them is the triggering of maternal respirátory and cardiac aktivity, which synchronizes the image acquisition with the mother´s breathing and heartbeat. In the practical part of the study, multiple BCG signals were acquired ina real magnetic resonance environment and subsequently processed using sliding average filtering or wavelet transform. A method for automatic detection of respirátory peaks in the maternal breathing aktivity or J-peaks in the BCG signal reflecting her cardiac aktivity was presented. Lastly, a systém demonstrating the quantification of motion artifacts in the images using SNR metric was introduced. All outputs are then analyzed.