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Scheda Riassuntiva
Anno Accademico 2015/2016
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 096281 - BIOMEDICAL SIGNAL PROCESSING AND MEDICAL IMAGES - BIOE 440-421
  • 096280 - BIOMEDICAL SIGNAL PROCESSING AND MEDICAL IMAGES [2] - BIOE 421
Docente Signorini Maria Gabriella
Cfu 5.00 Tipo insegnamento Modulo Di Corso Strutturato

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (1 liv.)(ord. 270) - MI (363) INGEGNERIA BIOMEDICA*AZZZZ083066 - ELABORAZIONE DI SEGNALI E IMMAGINI BIOMEDICHE [C.I.]
096281 - BIOMEDICAL SIGNAL PROCESSING AND MEDICAL IMAGES - BIOE 440-421
Ing Ind - Inf (Mag.)(ord. 270) - MI (471) BIOMEDICAL ENGINEERING - INGEGNERIA BIOMEDICA*AZZZZ096281 - BIOMEDICAL SIGNAL PROCESSING AND MEDICAL IMAGES - BIOE 440-421
098655 - MEDICAL IMAGES - BIOE 421
Ing Ind - Inf (Mag.)(ord. 270) - MI (476) ELECTRONICS ENGINEERING - INGEGNERIA ELETTRONICA*AZZZZ096281 - BIOMEDICAL SIGNAL PROCESSING AND MEDICAL IMAGES - BIOE 440-421
Ing Ind - Inf (Mag.)(ord. 270) - MI (481) COMPUTER SCIENCE AND ENGINEERING - INGEGNERIA INFORMATICA*AZZZZ096281 - BIOMEDICAL SIGNAL PROCESSING AND MEDICAL IMAGES - BIOE 440-421

Programma dettagliato e risultati di apprendimento attesi

 

Objectives

 

The Course is divided into two parts: the first one [1] is dedicated to Biomedical Signal Analysis. The objective is to introduce the most diffused methods of information processing from biomedical signals and to describe the most significant applications in Medicine and Biology, in both physiological studies and in clinical applications for diagnosis, therapy and rehabilitation.

 

The second part of the Course [2] deals with Medical Images. The objective is to provide basic concepts for their characterization, to illustrate clinical and diagnostic problems and to introduce the principles on which some techniques for their processing and reconstruction are based.

 

The Course is constituted by frontal lessons, exercise sessions, seminars and laboratory exercise aiming at more deeply analyzing the topics of signal and image processing making use of MatLab. The attendance of the Course is strongly adviced.

 

 

Part [2] Medical Images, Prof Maria Gabriella Signorini

 Objective

Provide basic concepts on biomedical images introduce the related clinical and diagnostic problems and illustrate principles on which techniques for processing and reconstruction are based on.

The Course is constituted by frontal lessons, exercise sessions and laboratory exercise  The attendance of the Course is strongly recommended both at frontal lessons and exercise sessions whose content is also part of the evaluation procedure.

 Programme of lessons and exercises

 Introduction

Medical Imaging modalities

 Introduction to image classification.  Image formation: Point Spread Function, Modulation Transfer Function, Spatial and amplitude resolution, Contrast, Signal to Noise ratio. Fourier Transform in the 2D spatial domain. Fotonic images. Artifacts and their removal. Human perception and Biomedical Images. Psychophysics Weber's Law. Perception thresholds for human vision.

 Basic Principles for image processing and reconstruction

Sampling and quantization in the spatial domain. Discrete Fourier Transform in the 2D space domain. Convolution 2D. Image quality enhancement: spatial filters, equalization. Geometric operators. Tomographic reconstruction. Numeric approach to tomographic reconstruction: Radon transform, Sinogram, back-projection and blurring. Filtered back- projection. Ramp high pass filter, Central Slice Theorem.

 X ray Imaging:  basic radiography, X-ray generation, radiation interaction with matter, dose. X-ray instrumentation. Digital Radiology. Mammography, Angiographic X-Ray imaging. Computed Tomography (CT): applications, history and evolution of instrumentation, spiral CT.

Tomographic reconstruction application to CT images.

Nuclear medicine Imaging – Radioactivity. Nuclear Emission images. General principles  Emission Tomography (SPECT). Detectors and data acquisition system. Positron emission Tomography (PET). Spatial resolution. Detectors. Instrumentation.  Dual mode PET-CT scanners.

Magnetic Resonance Imaging (MRI): Principles, Instrumentation, Pulse Sequences, T1 and T2 contrast, image generation. FMRI.

 

Prerequisites:

The Course do not request mandatory prerequisites; it is advisable to be aware of the fundamentals of digital signal processing.

 

Bibliography

 Valli G., Coppini G., Bioimmagini, Editore: Pàtron, Bologna, Terza Edizione, Anno edizione: 2012

Lesson Notes and other Course materials available for download at : https://beep.metid.polimi.it/

 Webb Andrew, Introduction to Biomedical Imaging, Editore: IEEE Press - Wiley Interscience, 2004

 

Note:

 The Course site collects didactic material supporting theoretical and practical lessons. The material is available for download before the course starts.

 

 

 


Note Sulla Modalità di valutazione

The evaluation will be given on the basis of a written exam, dealing with the topics dealt with in the Lessons and Exercise hours of the two Parts [1][2] (Biomedical Signals and Images) which constitute integrant parts of the Course. The Student may choose to take the exam relative to only one Part of the Integrated Course, provide that he/she obligates to make the other Part of the Course within the Sessions of the Academic Year of attendance. The exam is passed if the Student gets a positive evaluation in both the Parts. The final grade is the average of the single grades obtained in the two parts.


Bibliografia

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
32.0
esercitazione
20.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
18/02/2020