Medical Imaging and Image Processing
|Flow||I - Bioengineering|
|Category||Obligatory by selection|
|Class Hours - Lab Hours||3 - 0|
|Lecturers||George Matsopoulos, Konstantina Nikita|
|Links||Helios, Course's Website|
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.