Medical Imaging Systems

Introduction to medical imaging. Elements of digital image processing. Principles of tomographic imaging, emission and transmission tomography, image reconstruction techniques. X-ray computer assisted tomography (CT): Xray production, CT systems, clinical applications, security aspects. Nuclear Magnetic Resonance (NMR): physical principles, pulse sequences, relaxation processes, data acquisition and image reconstruction techniques, Magnetic Resonance Imaging (MRI) Systems, security aspects. Single photon emission tomography (SPECT) and positron emission tomography (PET): physical principles, radioisotope production, radiation detection, image reconstruction algorithms, clinical applications, security aspects. Diagnostic ultrasound: physical principles, ultrasound generation and detection, imaging techniques, clinical applications.

• Acquiring knowledge of basic nuclear physics, wave mechanics and quantum mechanics.
• Comprehension of the physical principles of main imaging methods, their limitations and applications.
• Understanding of the main mathematical tools for image formation and tomographic reconstruction.
• Acquiring skills to implement simulations using Matlab.
• Applying knowledge, concepts and methods from mathematics, physics and processing and analysis of signals and images to the issues of medical imaging.

• Ιατρικά Απεικονιστικά Συστήματα, Κουτσούρης Διονύσης – Δημήτρης,Νικήτα Κωνσταντίνα Σ.,Παυλόπουλος Σωτήρης Α., ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε., 1η έκδ./2005, ΘΕΣ/ΝΙΚΗ, 18548991
• Τεχνολογία Απεικονιστικών Συστημάτων , Δημάκης Πολίτης, Πάνου Θεόδωρος, ΒΗΤΑ ΙΑΤΡΙΚΕΣ ΕΚΔΟΣΕΙΣ ΜΕΠΕ, 1η έκδοση /2011, ΑΘΗΝΑ, 13004245

Grades based on written examinations at the end of the semester and submitted essays