Biomedical Images and Signal Processing
The “Biomedical image and signal processing” group is mainly dedicated to research activities in the field of biomedical engineer for the development of advanced methods for biomedical image and signal processing and analysis.
The biomedical images and signals are a relevant information source about the anatomical, structural and functional properties of different organs and tissues, from single cells to the whole body. To estimate these data reliably and accurately, some biomedical image and signal processing methods are needed, that combine expertise in biomedical engineer, informatics, mathematics, physics, biology and physiology.
The research activities of the group are aimed at the development, optimization, validation and application of advanced methods and models for the extraction of quantitative indices from tomographic images (especially CT and MRI) and EEG signals, in the oncologic and neuro-muscular field. In particular, we are focused on MRI images for the anatomical, structural and functional tissue characterization.
The group is composed of biomedical engineers researchers, with strong expertise in the radiotherapy and neurologic field.
The research activities are focused on the development of image registration and contour propagation methods for the automatic contouring of organs of interest at different time-points. Great attention is payed to the so-called Radiomics, i.e. the high throughput extraction of quantitative information from biomedical images, for the estimation of spatial patterns through the texture analysis.
Finally, we are focused on advanced models and methods for the estimation of diffusion and perfusion tissue properties from MRI images.
This research area is mainly focused on the processing, analysis and integration of biomedical cerebral signals (EEG) and anatomical and functional MRI for the evaluation of the neuro-muscular system.
The research activities mainly aim at the development and optimization of advanced methods for the assessment of structural, functional and effective connectivity and the assessment of the musculoskeletal system through high-resolution 3D imaging (MRI, CT).