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Neuroradiology

The main characteristic of our group is its multidisciplinary nature, as it is comprised of neuroradiologists, technologists, and a physicist, engineer, and biochemist.

The main objectives of our projects are to gain knowledge about the pathophysiologic mechanisms implicated in several neurological diseases and to evaluate new biomarkers and therapies through the use of qualitative and quantitative magnetic resonance (MR) and computed tomography (CT) techniques, and by applying artificial intelligence tools to create prognostic models. Our focus is on the study of diseases such as multiple sclerosis, epilepsy, neuro-oncology, and stroke.

In addition, because of the experience we have acquired along the years in performing MR studies, we act as a platform for designing MR-based projects, processing images, and conducting quantitative data analysis.

Research lines

Application of MRI in multiple sclerosis and other demyelinating diseases

The objective of this research line is to evaluate the value of MRI in the diagnosis of multiple sclerosis and as a marker of progression and treatment response to disease modifying treatments.

IP: Alex Rovira Cañellas, Cristina Auger Acosta

Application of MRI in neuroncological diseases

The objective of this research line is to evaluate the value of MRI in the diagnosis and follow-up of primary tumours of central nervous system, with special interest on the impact of radiological features in predicting their genomics characteristics (radiogenomics), through multicentre studies.

IP: Cristina Auger Acosta

Research in Cerebrovascular Diseases

This research line is mainly focused on the assessment of intracranial aneurysms. This includes the role of several imaging techniques to predict the risk of future rupture. Other interests are to associate imaging changes with the pathophysiological mechanisms that underlie aneurysm formation and to optimize the imaging protocol used in clinical practice.

IP: Alex Rovira Cañellas

Blog

News

It aims to develop and validate AI algorithms that detect multiple sclerosis lesions based on magnetic resonance imaging.

The award recognizes his scientific career and his contribution to research and clinical care in multiple sclerosis.

Dr. Xavier Montalban, Dr. Álex Rovira, Dr. Mar Tintoré and Dr. Jaume Sastre Garriga have been recognised in the listing.

Rates

Magnetic Resonance image analysis