鶹AV

Dr. Matthias Friedrich

Academic title(s): 

Professor, Departments of Medicine and Diagnostic Radiology

Dr. Matthias Friedrich
Contact Information
Address: 

鶹AV Health Centre (MUHC)
1001 Decarie Boulevard,
Montreal, Qc, H4A 3J1

Phone: 
(514) 934-1934 ext. 61841
Email address: 
matthias.friedrich [at] mcgill.ca
Current research: 

My research is focused on novel clinical applications of cardiovascular magnetic resonance imaging. This typically involves pre-clinical and clinical testing of novel CMR protocols (“sequences”). We consider the myocardial tissue as the most important diagnostic target for such novel applications. In the past, I have introduced methods such as imaging myocardial edema in acute heart disease or T1 mapping in myocardial infarction. Currently, we are very interested in measuring coronary vascular function using a combination of a method called oxygenation-sensitive CMR in combination with specific breathing maneuvers. For the required advanced CMR image data analysis, we are applying state-of-the-art CMR techniques, multi-parametric strategies and specific deep learning algorithms, for which we have close collaborations with industry partners (MR manufacturers and software companies).

Projects: 
  1. The impact of food intake on coronary vascular function
    This study aims for assessing the effect of two different meal types (fatty vs carbohydrate-rich) on the response of myocardial oxygenation to a standardized breathing maneuver (hyperventilation, followed by a long breath-hold). We will be using Oxygenation-Sensitive CMR to measure the myocardial oxygenation response.
  1. The relationship between anxiety and coronary vascular function
    The goal of this study is to better understand how anxiety-associated breathing patterns may impact the vascular response of the heart to a standardized breathing maneuver (hyperventilation, followed by a long breath-hold). We will use Oxygenation-Sensitive CMR to measure the myocardial oxygenation response.
  2. Comparison of two different cardiac T1 mapping techniques respect to robustness, image quality and results
    This project will compare a novel, ultra-fast technique for cardiac T1 mapping (based on SASHA) with a conventional mapping sequence (MOLLI). In patients with suspected myocardial disease, the clinical utility will be measured using standard criteria.
Selected publications: 

Research areas: 
Cardiovascular diseases
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