Our research programme spans the full spectrum of non-invasive cardiac imaging — from the physics of image acquisition to physiology, clinical outcomes and artificial intelligence — with the shared goal of diagnosing heart disease earlier, more accurately and less invasively.
Quantitative myocardial blood flow and flow reserve with PET and SPECT to detect coronary artery disease, improve risk stratification and guide therapy — building on more than 25 years of PET experience at USZ.
Coronary CT angiography and calcium scoring, and the clinical evaluation of next-generation silicon-based photon-counting CT to push spatial resolution and radiation efficiency — the basis of next-level diagnostic performance and superior risk-stratification.
Combining bone-scintigraphy, PET, echocardiography and cardiac MRI for the diagnosis, staging and monitoring of cardiac amyloidosis, defining how and when to integrate techniques for each patient.
Fusing anatomical and functional information (PET/CT, SPECT/CT) and developing molecular imaging approaches to characterise disease at the tissue level and personalise management.
Artificial intelligence for image reconstruction and analysis, plus 3D modelling, 3D printing and computer-based coronary flow simulation to translate images into actionable physiology.
Using CT — in particular coronary artery calcium scoring — to identify individuals at risk before symptoms occur, refine cardiovascular risk prediction and guide preventive management. This work underpins our open CH-CACS calculator.
This list is generated live from PubMed and updates automatically whenever a new publication is indexed with one of the team members as author or co-author — nothing here is maintained by hand. Each entry links to the full text (DOI) and the PubMed record.
Source: U.S. National Library of Medicine, PubMed (NCBI E-utilities). The query combines all team authors, restricted by Zurich affiliation and verified ORCID iDs.