Cardiovascular imaging and image guided treatment
Cardiovascular diseases, Image guided treatment, Imaging
Research aim
By developing and implementing advanced imaging and AI, we aim to enhance individualized detection, prediction, and minimally invasive treatment of cardiovascular disease.This optimizes patient selection, treatment guidance, and clinical outcomes.
About us
The growing burden of cardiovascular disease necessitates integrating novel imaging technologies and AI for optimizing individual-level detection, prediction, and image guided treatment and follow-up strategies, to improve clinical outcomes and leading to better long-term health .
Focus areas in our group are:
. Velthuis: heart- brain axis with emphasis on hereditary and acquired cardiomyopathy, gender, lifestyle and atherosclerosis.
. van der Schaaf: Intelligent workflow automation in neurovascular image guided treatment
. van den Berg: Dynamic imaging & modelling of cardio-vascular system, AI workflow for image guided interventions, wearable sensors.
. Steensma: Cardiovascular disease detection with wearable sensors, motion detection in medical imaging
. Prompers: Magnetic resonance metabolic imaging
. Sbrizzi: MRI methods for real time and quantitative cardiac tissue characterization and dynamical analysis
. Fast: Noninvasive cardiac radiotherapy including stereotactic arrhythmia radio-ablation
Our research group thrives on diverse multidisciplinary collaborations and establishing strong connections across various entities, including the Utrecht Cardiovascular Cohort. We collaborate with varied clinical partners, the Image Science Institute, the High Precision Structural and Metabolic Imaging Group. Additionally, we maintain strong ties with various Dutch consortia, Technical Universities and engage in public-private partnerships with industry stakeholders.