Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
2018/2019
Belonging course: 
Course of Bachelor's Degree Programme on COMPUTER SCIENCE, BIOMEDICAL AND TELECOMMUNICATIONS ENGINEERING
Location: 
Napoli
Disciplinary sector: 
ELECTRONIC AND INFORMATICS BIOENGINEERING (ING-INF/06)
Language: 
Italian
Credits: 
9
Year of study: 
2
Teachers: 
Cycle: 
Second semester
Hours of front activity: 
72

Language

Italian

Course description

*) Knowledge and understanding: the student has to prove its knowlegde about the theretic principles, the instrumentation and the processing related to the main diagnostic instrumentation typologies.
*) Applying knowledge and understanding: the student should be able to interact with the main biomedical data standards (DICOM) and to implement basics algorithms for image formation, visualization and processing.
*) Making judgements: the student should be able to critically analyze the different techniques for the clinical analysis and to identify the main acquisition systems, both structural and functional.
*) Communication: the student should be able to clearly express the technical concepts and correcly user the scientific languate
*) Learning skills: the student should be able to update the acquired knowledge by using different sources, e.g. books and scientific papers, and to achieve a deeper knowledge of the field, being able to follow master courses within the biomedical sector.

Prerequisites

It is needed to learn from the courses “Analisi Matematica”, “Fisica Generale”, “Programmazione dei Calcolatori Elettronici” and “Teoria dei segnali” the following knowledge:
- basic concepts of thermodynamics and computer programming;
- fundamental concepts of mathematics, in particular related to complex numbers and integrals;
- signals and their analysis, in particular by using the Fourier transform (direct and inverse).

Syllabus

- Basics of signal processing (12 hours).
General biomedical image characteristics. Quality parameters. Data acquisition and image formation. Direct and inverse 2D Fourier transform. Radon transform. Synogram. Retro-projection algorithms.
- X-ray imaging (8 hours)
Ionizing radiations. X-rays. X-ray tube. Detectors. Planar radiography. Computed Tomography, Image characteristics.
- Nuclear Medicine (8 hours)
Functional Imaging. Radiotracer. Planar scintigraphy. SPECT. PET. Collimator. Detectors. Data processing.
- Ultrasound imaging (8 hours)
Basics of ultrasound imaging. Acoustic wave propagation. Trasducers. Scanning typologies. Doppler ultrasound imaging.
- Magnetic Resonance Imaging (12 hours)
Nuclear Magnetic Resonance phenomenon. Imaging principles via Fourier transform. MRI scanner. Imaging sequences. K-space and filling strategies. Flow imaging. Functional MRI.
- Physiology (8 hours)
Cells electrical activity. Central and peripheral nervous system. Heart and circulatory system. Musculoskeletal system.
- Laboratory (16 hours)
Signals and images in Matlab environment. Direct and inverse 2D Fourier transform. Radon transform and synogram. Retro-projection algorithms. 1D and 2D signal filtering. Load and save of data in DICOM format.

- Basics of signal processing (12 hours).
General biomedical image characteristics. Quality parameters. Data acquisition and image formation. Direct and inverse 2D Fourier transform. Radon transform. Synogram. Retro-projection algorithms.
- X-ray imaging (8 hours)
Ionizing radiations. X-rays. X-ray tube. Detectors. Planar radiography. Computed Tomography, Image characteristics.
- Nuclear Medicine (8 hours)
Functional Imaging. Radiotracer. Planar scintigraphy. SPECT. PET. Collimator. Detectors. Data processing.
- Ultrasound imaging (8 hours)
Basics of ultrasound imaging. Acoustic wave propagation. Trasducers. Scanning typologies. Doppler ultrasound imaging.
- Magnetic Resonance Imaging (12 hours)
Nuclear Magnetic Resonance phenomenon. Imaging principles via Fourier transform. MRI scanner. Imaging sequences. K-space and filling strategies. Flow imaging. Functional MRI.
- Physiology (8 hours)
Cells electrical activity. Central and peripheral nervous system. Heart and circulatory system. Musculoskeletal system.
- Laboratory (16 hours)
Signals and images in Matlab environment. Direct and inverse 2D Fourier transform. Radon transform and synogram. Retro-projection algorithms. 1D and 2D signal filtering. Load and save of data in DICOM format.

Teaching Methods

The course is divided into frontal lessons and laboratory lessons in the computer room.

Textbooks

Teacher’s notes available on the course website (www.edi.uniparthenope.it)

Course book:
Smith, Webb, Introduction to Medical Imaging, Cambridge University press.

For specific topics as the Radon transform, the retro-projection algorithms, the detectors for ionizing radiations and the Nuclear Magnetic Resonance phenomenon can be also exploited the following text:
Cho, Jones, Sinch, Foundations of Medical Imaging, Wiley Interscience.

Learning assessment

The examination aims at verifying the achievement of the previously stated educational targets. The examination is divided in 2 parts that take place within few days.
- the development of a Matlab code, with the aim of evaluating the student capacity of load, visualize and process biomedical signals by using the techniques studied during the lessons; the minimal score to pass the test is 15 of 30; students have 1 hour to complete the test; it is only possible to consult the Matlab on-line help;
- an oral exam for evaluating the student ability in linking an analyzing the different topics studied during the course; the minimal score to pass the test is 15 of 30;
The final grade is a weighted mean of the two scores. In case one of the two tests is unsatisfactory or the global grade is below 18, the student has to repeat the two tests.

More information

The teaching material is available on the site "www.edi.uniparthenope.it".
The office hour is scheduled on Mondays at 4.00 pm.
Lectures are in Italian. The professor is fluent in English and is available to interact with students in English, also during the examination.