Alexander Wollandt
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Alexander Wollandt has a total of 24 co-authors. Here are the top co-authors by number of shared publications:
- Christian Booz
Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
1 shared publication - David M. Leistner
Department of Cardiology, University Hospital Frankfurt, 60590 Frankfurt am Main, Germany
1 shared publication - Hatim Kerniss
Department of Cardiology, University Heart Centre Frankfurt, University Hospital Frankfurt, Frankfurt/Main, Germany; Luebeck Institute of Experimental Dermatology, University of Luebeck, Lübeck, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Frankfurt/Main, Germany
1 shared publication - Iris Burck
Clinic for Radiology and Nuclear Medicine, University Hospital, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany
1 shared publication - Jennifer Gotta
Goethe University Frankfurt, University Hospital Department of Radiology and Nuclear Medicine Frankfurt am Main Germany
1 shared publication - Katrin Eichler
Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
1 shared publication
Latest Publications
- Open Access
- 16 July 2026
- Published by MDPI AG in Diagnostics
- Vol. 16 (14) , 2233
Cardiovascular Magnetic Resonance Elastography: Current Evidence, Challenges, and Future Perspectives
Myocardial and aortic stiffness are increasingly recognized as clinically relevant biomarkers for cardiovascular disease, yet their noninvasive quantification remains challenging. Magnetic resonance elastography (MRE) has emerged as a promising technique for the spatial mapping of tissue biomechanics by visualizing and analyzing propagating shear waves. This narrative review summarizes the current state of cardiovascular MRE, spanning technical developments in wave generation (acoustic, electromagnetic, gravitational, and transducer-free approaches), pulse sequence design (echo-planar imaging, gradient-recalled echo, spiral, and free-breathing three-dimensional acquisitions), and inversion algorithms (local frequency estimation, direct inversion, finite element methods, and multifrequency elastography). We present evidence from phantom validation, animal models (myocardial infarction, hypertension, right ventricular hypertrophy), and human studies encompassing cardiac amyloidosis, hypertrophic cardiomyopathy, diastolic dysfunction, and abdominal aortic aneurysm. Additionally, we discuss current challenges, including waveguide effects, standardization needs, and clinical translation barriers, and highlight emerging solutions through artificial intelligence, multifrequency methods, and transducer-free cardiac MRE.
- 16 July 2026
- Published by MDPI AG in Diagnostics
- Vol. 16 (14) , 2233
Open AccessCardiovascular Magnetic Resonance Elastography: Current Evidence, Challenges, and Future Perspectives
Myocardial and aortic stiffness are increasingly recognized as clinically relevant biomarkers for cardiovascular disease, yet their noninvasive quantification remains challenging. Magnetic resonance elastography (MRE) has emerged as a promising technique for the spatial mapping of tissue biomechanics by visualizing and analyzing propagating shear waves. This narrative review summarizes the current state of cardiovascular MRE, spanning technical developments in wave generation (acoustic, electromagnetic, gravitational, and transducer-free approaches), pulse sequence design (echo-planar imaging, gradient-recalled echo, spiral, and free-breathing three-dimensional acquisitions), and inversion algorithms (local frequency estimation, direct inversion, finite element methods, and multifrequency elastography). We present evidence from phantom validation, animal models (myocardial infarction, hypertension, right ventricular hypertrophy), and human studies encompassing cardiac amyloidosis, hypertrophic cardiomyopathy, diastolic dysfunction, and abdominal aortic aneurysm. Additionally, we discuss current challenges, including waveguide effects, standardization needs, and clinical translation barriers, and highlight emerging solutions through artificial intelligence, multifrequency methods, and transducer-free cardiac MRE.