By the end of the course, the students will be able to
- understand electromagnetic wave spectrum
- understand the basic attenuation and interaction of x-ray in matter
- understand the basic x-ray generation and detection process in radiography, computed radiography and digital radiography
- analytically define the Radon transform and inverse Radon transform methods such as Backprojection, Filtered Back-Projection, Fourier Slice Theorem, Backprojection filtering and Iterative methods
- interpret and visualize parallel-beam and fan-beam projection (sinogram) on simple representative images
- simulate and implement basic Radon transform based data acquisition and image reconstruction techniques on MATLAB using basic programming commands and built-in functions
- understand the Nyquist (sampling) theorem and aliasing in projection data samples
- analyze the detector resolution and sampling requirements of some basic x-ray and gamma-ray detectors
- understand the physics, data acquisition and image reconstruction concepts of the Nuclear Medicine imaging modalities (PET, SPECT)
- understand the basic Magnetic Resonance Imaging (MRI) concepts of such as magnetic field, Larmor equation, free induction decay, T1 and T1 relaxation times, inversion recovery, spin-echo, phase-encoding, frequency-encoding, magnetic field gradient, slice selection, RF coils and multi-slice imaging
- understand the basic ultrasound imaging concepts such as physics of ultrasonic wave propagation in tissue, interference, focusing, beamformation, transducers, resolution, frame-rate, A-mode, B-mode, Doppler effect and flow imaging, imaging probes and imaging artifacts