Provide the student with the tools to deepen the techniques and methods of detection in Diagnostic Imaging in radiodiagnostics, nuclear medicine and radiotherapy fields.
The course aims to make the student familiar with the formation process of analog and digital images, in order to provide the tools for evaluating the goodness of an imaging system, the requirements necessary for achieving a certain image quality degree and the main approaches for image enhancement and noise/artifact removal.
General information on detectors and properties. Fundamentals of detection, Equivalent electrical circuit of the detector. P-N junction of detectors. Various types of noise in the detectors. Signal to noise ratio. Amplifiers and preamplifiers. ADC. QDC. Fourier series concept, Fourier series examples of some simple periodic signals. Transformation of a non-periodic signal, continuous spectrum, Sinc function, limit processes.
Introduction to images. Analog and digital quantities. Examples of applications for digital images with emphasis on the medical field. Components of a vision system
Human visual perception. Light and the electromagnetic spectrum. Image formation models. Image sensing. Sampling and quantization. Resolution and scaling. Aliasing and Moiré effect. Color representation. Color spaces.
Techniques for image transformation. Histogram analysis. Spatial filters. 2D Fourier transform. Frequency analysis and transformation.
Diagnostic Radiology Physics - A Handbook for Teachers and Students - D.R. Dance S. Christofides A.D.A. Maidment I.D. McLean K.H. Ng Technical Editors
Gonzalez, Woods, “Digital image processing”, 3rd ed., Prentice Hall