Studying Cardiovascular Pathology with MRI

Cardiovascular disease due to atherosclerosis is the leading cause of disease and mortality worldwide. So-called “vulnerable” atherosclerotic plaques are those that are likely to result in clinical events. One of the hallmarks of vulnerable plaques is increased endothelial permeability, a feature that is related to the progression of the disease across all stages of the atherosclerotic cascade.

Overview

Increased endothelial permeability at the beginning of atherosclerosis is believed to allow lipid deposition and plaque formation to occur. At later stages it is associated with plaque inflammation and extravasation of inflammatory cells that occurs as a plaque progresses, and may eventually lead to plaque rupture. This webinar will describe the application of magnetic resonance imaging (MRI) for the characterization of increased endothelial permeability in mouse atherosclerotic plaques using the preclinical Bruker Biospec 7 Tesla horizontal 70/30 scanner and self-gating features (IntraGate). Self-gated imaging allows high-quality cardiac MRI with no additional hardware requirements (such as the use of ECG electrodes) and potential pitfalls of signal interferences and disruption, and has been used in our laboratory to obtain clear imaging of the mouse aortic root.

Speakers

Claudia Calcagno Mani, MD, PhD
Assistant Professor Department of Radiology Translational and Molecular Imaging Institute Icahn School of Medicine at Mount Sinai New York, USA

Dr. Claudia Calcagno holds an MD from the University of Genova (Italy, 2004), and a PhD from the Icahn School of Medicine at Mount Sinai/ New York University (New York, USA, 2010). He main research interest is dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) of the atherosclerotic arterial vessel wall.

Todd Sasser, PhD
Head of Applications PCI, Americas Bruker BioSpin Billerica, Massachusetts

Todd Sasser is a Field Applications Scientist for Bruker Preclinical Imaging. He provides application support for in vivo imaging across a wide variety of disciplines from infection imaging, cancer biology, and probe development. He currently focuses on application development for the Albira PET/SPECT/CT system. Dr. Sasser studied at The University of Liverpool and The University of Hawaii and is currently a visiting scholar at The University of Notre Dame.

What to Expect?

The basics self-gated imaging, along with the advantages of applying this method in both cardiac and vascular MRI, will be discussed. For example, this flexible tool allows high quality, high resolution pre-clinical cardiac and vascular imaging without the need for ECG triggering, meaning no electrodes and no gating with a device is needed.

Key Topics

  • Applying MRI to study atherosclerosis in the mouse aortic root, with a focus on endothelial permeability
  • 2D dynamic contrast enhanced (DCE) MRI and 3D T1 mapping of the aortic root and ascending aorta using Bruker BioSpec 70/30 USR and self-gated imaging (IntraGate software package)
  • The advantages of using self-gated techniques for cardiac and vascular imaging
  • The flexibility these techniques provide for individuals working in pre-clinical imaging

Who Should Attend?

The webinar will be useful to anybody interested in cardiac and vascular imaging of small animals, particularly using MRI. It would also be useful for researchers who image larger animals on clinical scanners but who are interested in smaller animal imaging where more indepth mechanistic studies can be conducted. The webinar will also appeal to anyone interested in the pathology of cardiovascular disease.

Other Webinars from Bruker BioSpin - NMR, EPR and Imaging

Life Science Webinars by Subject Matter

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.