Introduction to, and comparison of modern medical imaging modalities: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Nuclear Medicine Imaging, Diagnostic Ultrasound. Medical image reconstruction: useful definitions (projection, linear integral), Fourier slice theorem, filtered back projection, iterative image reconstruction algorithms, artefacts in the reconstructed images. X-ray computed tomography (CT): Physics, instrumentation, data acquisition geometries, tomographic image reconstruction, helical CT. Magnetic Resonance Imaging (MRI): Nuclear Magnetic Resonance (NMR), Bloch equation, data acquisition, pulse sequences, relaxation processes and their measurement, MR imaging equation and reconstruction. Ultrasound (US) Imaging Techniques: physical principles, sound production and detection, beam forming techniques, pulse-echo imaging, real time imaging, Doppler imaging. Nuclear medicine and Single Photon Emission Computed Tomography (SPECT): radiopharmaceuticals, Anger Camera, principles of operation, instrumentation and image reconstruction. Positron Emission Tomography (PET): physics, radiopharmaceuticals, instrumentation, clinical applications. Basic principles of medical image processing and analysis: denoising, segmentation, texture analysis, three-dimensional visualization, computer aided diagnosis and treatment. Training exercises inbiomedical image reconstruction and processing using Matlab environment. Training exercises in biomedical image reconstruction and processing using Matlab environment.
Medical Imaging and Image Processingconstracti2023-07-20T20:09:03+03:00