Laboratório Avançado de Processamento de Sinal e Imagem (Fcul)

Objectives

1. Complement previous training in signal and image processing and its applications to Medicine and Biomedical Engineering. 2. Introduce advanced theoretical concepts of signal and image processing relevant to applications in Medicine and Biomedical Engineering. 3. Give students practical experience in the computational application of algorithms to concrete signal and image processing problems. 4. Involve students in tasks related to ongoing research projects, suitable to enrich their training.

Syllabus

SIGNAL PROCESSING: Spectral analysis: periodogram, autoregressive methods. Time-frequency analysis: Wavelets. Decomposition into empirical modes and Hilbert-Huang transform. Measures of association between time series: coherence, Wavelet coherence, Granger causality, transfer entropy. Application to electroencephalography, electrocardiography, fMRI signals. Simulation of neuronal/brain signals. IMAGE PROCESSING: Medical image formats. Spatial filtering: recent developments and application to concrete modalities (magnetic resonance, nuclear medicine). Image reconstruction in magnetic resonance and nuclear medicine. Texture and contour analysis. Image coregistration. "Big data" and use of public databases. CROSS-CUTTING TOPICS: analysis of principal components and independent components, feature extraction and automatic classification (Artificial Neural Networks, Support Vector Machines, Clustering).