Studiare
In questa sezione è possibile reperire le informazioni riguardanti l'organizzazione pratica del corso, lo svolgimento delle attività didattiche, le opportunità formative e i contatti utili durante tutto il percorso di studi, fino al conseguimento del titolo finale.
Piano Didattico
Il piano didattico è l'elenco degli insegnamenti e delle altre attività formative che devono essere sostenute nel corso della propria carriera universitaria.
Selezionare il piano didattico in base all'anno accademico di iscrizione.
Legenda | Tipo Attività Formativa (TAF)
TAF (Tipologia Attività Formativa) Tutti gli insegnamenti e le attività sono classificate in diversi tipi di attività formativa, indicati da una lettera.
Biomedical image processing (2016/2017)
Codice insegnamento
4S004554
Docenti
Coordinatore
Crediti
6
Lingua di erogazione
Inglese
Settore Scientifico Disciplinare (SSD)
INF/01 - INFORMATICA
Periodo
II sem. dal 1 mar 2017 al 9 giu 2017.
Obiettivi formativi
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.
Programma
(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
Autore | Titolo | Casa editrice | Anno | ISBN | Note |
---|---|---|---|---|---|
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 |
Modalità d'esame
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.
Materiale e documenti
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01 - Introduction (pdf, en, 14462 KB, 6/2/17)
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02 - X-rays and Computed Tomography (CT) (pdf, en, 17789 KB, 6/2/17)
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03 - Nuclear medicine: scintigraphy, SPECT and PET (pdf, en, 10795 KB, 6/2/17)
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04 - Ultrasonography (pdf, en, 7191 KB, 6/2/17)
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06 - Basic image processing (pdf, en, 18857 KB, 6/2/17)
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07 - Medical image registration (pdf, en, 19885 KB, 6/2/17)
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08 - Diffusion MRI: principles and applications (pdf, en, 12529 KB, 6/2/17)
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09 - Diffusion MRI: local reconstruction (pdf, it, 3031 KB, 6/2/17)
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11 - Diffusion MRI: tractography 2 (pdf, en, 18668 KB, 6/2/17)
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12 - Diffusion MRI: connectomics (pdf, en, 2934 KB, 6/12/17)
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13 - Diffusion MRI: microstructure informed tractography (pdf, en, 12430 KB, 6/12/17)