Biomedical Image Processing
Biomedical image processing is a very broad field; it covers biomedical signal gathering, image forming, picture processing, and image display to medical diagnosis based on features extracted from images.
There are several imaging techniques which include Magnetic Resonance Imaging (anatomical or functional) radiography, thermography, ultrasound, nuclear medicine, CT, Positron Emission Tomography, and others. All these modalities might be used to study the anatomical and functional features of organs and tissues involved in the neuro-cardio-vascular system. In our research group, we develop novel techniques and algorithms to study the spatial and structural features that are representation of the physiological system, and more specifically, how the dynamical information gathered from image processing might be of help in the understanding systems’ continuous interplay.
Valenza, Gaetano, et al. "The central autonomic network at rest: uncovering functional MRI correlates of time-varying autonomic outflow." Neuroimage 197 (2019): 383-390.
Duggento, A., Passamonti, L., Valenza, G., Barbieri, R., Guerrisi, M., & Toschi, N. (2018). Multivariate Granger causality unveils directed parietal to prefrontal cortex connectivity during task-free MRI. Scientific reports, 8(1), 1-11.
Several imaging techniques including Magnetic Resonance Imaging (anatomical or functional) radiography, thermography, ultrasound, nuclear medicine, CT, Positron Emission Tomography may be exploited to study the anatomical and functional features of the neuro-cardio-vascular system. In our research group, we study how the dynamical information gathered from image processing might be of help in the understanding of the nervous systems activity.
