Studying at the University of Verona
Academic calendar
Il calendario accademico riporta le scadenze, gli adempimenti e i periodi rilevanti per la componente studentesca, personale docente e personale dell'Università. Sono inoltre indicate le festività e le chiusure ufficiali dell'Ateneo.
L’anno accademico inizia il 1° ottobre e termina il 30 settembre dell'anno successivo.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates. For further information, please get in touch with Operational unit: Science and Engineering Teaching and Student Services Unit
| Period | From | To |
|---|---|---|
| I sem. | Oct 3, 2016 | Jan 31, 2017 |
| II sem. | Mar 1, 2017 | Jun 9, 2017 |
| Session | From | To |
|---|---|---|
| Sessione invernale Appelli d'esame | Feb 1, 2017 | Feb 28, 2017 |
| Sessione estiva Appelli d'esame | Jun 12, 2017 | Jul 31, 2017 |
| Sessione autunnale Appelli d'esame | Sep 1, 2017 | Sep 29, 2017 |
| Session | From | To |
|---|---|---|
| Sessione estiva Appelli di Laurea | Jul 19, 2017 | Jul 19, 2017 |
| Sessione autunnale Appelli di laurea | Oct 18, 2017 | Oct 18, 2017 |
| Sessione invernale Appelli di laurea | Mar 21, 2018 | Mar 21, 2018 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2016 | Nov 1, 2016 |
| Festa dell'Immacolata Concezione | Dec 8, 2016 | Dec 8, 2016 |
| Vacanze di Natale | Dec 23, 2016 | Jan 8, 2017 |
| Vacanze di Pasqua | Apr 14, 2017 | Apr 18, 2017 |
| Anniversario della Liberazione | Apr 25, 2017 | Apr 25, 2017 |
| Festa del Lavoro | May 1, 2017 | May 1, 2017 |
| Festa della Repubblica | Jun 2, 2017 | Jun 2, 2017 |
| Vacanze estive | Aug 8, 2017 | Aug 20, 2017 |
Exam calendar
The exam roll calls are centrally administered by the operational unit
Science and Engineering Teaching and Student Services Unit
Exam Session Calendar and Roll call enrolment sistema ESSE3
.If you forget your password to the online services, please contact the technical office in your Faculty.
Per dubbi o domande Read the answers to the more serious and frequent questions - F.A.Q. Examination enrolment
Academic staff
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.
| Teachings | Credits | TAF | SSD |
|---|
| Teachings | Credits | TAF | SSD |
|---|
1° Anno
| Teachings | Credits | TAF | SSD |
|---|
2° Anno
| Teachings | Credits | TAF | SSD |
|---|
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Biomedical image processing (2016/2017)
Teaching code
4S004554
Academic staff
Coordinatore
Credits
6
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Language of instruction
English
Period
II sem. dal Mar 1, 2017 al Jun 9, 2017.
Learning outcomes
The course deals with the major sources of medical imaging data (X-rays, CT, MRI, PET and US) and provides the students with a flavour of the current methods used to process medical images, enhance their quality and extract useful information from them. A particular focus will be given to diffusion MRI, as it represents a very rich imaging modality that will allow us to investigate several analysis techniques starting from the same data, at increasing levels of complexity.
These concepts are also illustrated in hands-on sessions where these techniques are applied to practical situations and problems that often arise when analyzing real medical images. The laboratory activities will be based on the Python language.
Program
(1) Basic concepts
- Image properties: pixel vs voxel, spatial resolution, orientation, data type etc
- File formats: DICOM, NIFTI, MINC etc
- Signal-to-noise (SNR) vs Contrast-to-noise (CNR) ratio
- Noise, blurring and modality-specific artifacts
- Signal representation: frequency domain, spherical harmonics, sparse bases
(2) Overview of major medical imaging modalities
- Radiography: X-rays projection, fluoroscopy and computed tomography (CT)
- Nuclear medicine: SPECT and PET
- Ultrasound imaging (US)
- Magnetic Resonance Imaging (MRI)
(3) Basic image processing
- Recall of elementary tools: filtering, edge detection and image enhancement
- Registration: features, similarity measures, transformations (linear vs non-linear)
(4) Connectivity analysis with diffusion MRI
- Principles and main applications
- Local reconstruction: DTI, DSI, CSD etc
- Tissue microstructure estimation: axon diameter mapping, AxCaliber, ActiveAx, CHARMED, NODDI etc
- Tractography: local vs global methods, probabilistic, recent advances
(5) Laboratory
- Introduction to Python
- Hands-on activities on the topics covered throughout the course
Bibliografia
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Ravishankar Chityala | Image processing and acquisition using Python (Edizione 1) | Chapman and Hall/CRC | 2014 | 9781466583757 | |
| Andrew Webb | Introduction to biomedical imaging | Wiley-IEEE Press | 2003 | 978-0-471-23766-2 | |
| Jerrold T. Bushberg | The Essential Physics of Medical Imaging (Edizione 3) | Lippincott Williams & Wilkins | 2011 | 0781780578 |
Examination Methods
The grade will be based on a discussion about the final project assigned during the course. The final project is a very important part of the course, as it allows students to synthesize the concepts learned throughout the course, understand the motivation behind each modality, experiment typical problems that arise in daily-life medical images and apply the appropriate techniques to improve image quality and extract useful information.
Teaching materials
-
01 - Introduction
(pdf, en, 14462 KB, 02/06/17)
-
02 - X-rays and Computed Tomography (CT)
(pdf, en, 17789 KB, 02/06/17)
-
03 - Nuclear medicine: scintigraphy, SPECT and PET
(pdf, en, 10795 KB, 02/06/17)
-
04 - Ultrasonography
(pdf, en, 7191 KB, 02/06/17)
-
06 - Basic image processing
(pdf, en, 18857 KB, 02/06/17)
-
07 - Medical image registration
(pdf, en, 19885 KB, 02/06/17)
-
08 - Diffusion MRI: principles and applications
(pdf, en, 12529 KB, 02/06/17)
-
09 - Diffusion MRI: local reconstruction
(pdf, it, 3031 KB, 02/06/17)
-
11 - Diffusion MRI: tractography 2
(pdf, en, 18668 KB, 02/06/17)
-
12 - Diffusion MRI: connectomics
(pdf, en, 2934 KB, 12/06/17)
-
13 - Diffusion MRI: microstructure informed tractography
(pdf, en, 12430 KB, 12/06/17)
Tipologia di Attività formativa D e F
Course not yet included
Career prospects
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Graduation
List of theses and work experience proposals
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