The course introduces algorithms for the reconstruction and processing of biomedical images. In particular, also through guided laboratory exercises, tomographic and MRI reconstruction, segmentation, iterative algorithms for PET and SPECT will be treated
The aim is to knowledge of biomedical images reconstruction and processing algotithms.
In particular this unit introduces: Filtered Back projection, MRI reconstruction, itertive methods for PTE and SPECT and
ITK/VTK software for registration and segmentation of biomedical images
At the end of the course the students will be able to elaborate biomedical images extracting features useful to diagnosis, to superimpose images coming from different acquisitions, to understand algorithms at the base of the main biomedical imaging techniques.
Combination of traditional lectures (28 hours) and laboratory sessions (20 hours).
• Tomographic Image Reconstruction: Filtered Back Projection method, used filters, artefacts and resolution limit. • MRI Image reconstruction: main artefacts and methods for their reduction. • Iterative algorithms for functional images PET e SPECT (OS-EM) • Introduction of the ITK e VTK toolkit for multi-modal image visualization, segmentation and registration
Ricevimento: Send a mail to patrizia.boccacci@unige.it to make an appointment
PATRIZIA BOCCACCI (President)
MARCO MASSIMO FATO
BIOMEDICAL IMAGE PROCESSING
Oral and laboratory examination
