Digital Image Analysis & Modeling
Our research leverages state-of-the-art multimodal imaging technologies (CT, MRI, Echo) combined with innovative sensor technologies, including novel wearables, to develop advanced solutions for prediction, diagnostics, and treatment planning.
A central focus lies on AI-driven approaches that sustainably improve diagnostic quality and enable a more precise assessment of cardiovascular diseases. Furthermore, our work focuses on the investigation of blood flow, fluid-structure interaction, biomechanics, and myocardial energetics of the heart.
Current Projects
- Analysis of sensor data streams to support minimally invasive surgical procedures
- DZHK’s flagship digitisation project Imaging "Multicentric AI development for cardiovascular disease classification and theraphy support based on imaging data"
- Image-based personalised prediction of residual risk and prognosis for cardiovascular and cerebrovascular diseases
- Infrastructure project: “Central Image Management System” (BDMS)
- Investigations of vascular dysfunction and hypoperfusion in patients diagnosed with ME/CFS
- MRI-based analysis of structural-functional relationships in HFpEF
- Multiscale Elastography for Characterization of Pathologic Extracellular Matrix Change
- MYKKE Echo
- National Pandemic Cohort Network - Therapeutic Intervention Platform
Leitung
Prof. Dr.-Ing. Anja Hennemuth
Head of Digital Image Analysis and Modeling
Prof. Dr.-Ing. Anja Hennemuth
Head of Digital Image Analysis and Modeling
