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Natriuretic Peptide-Guided Heart Failure Therapy After the GUIDE-IT Study Comprehensive intravascular ultrasound assessment of stent area and its impact on restenosis and adverse cardiac events in 403 patients with unprotected left main disease Heart Failure and Atrial Fibrillation, Like Fire and Fury Long-Term Durability of Transcatheter Heart Valves: Insights From Bench Testing to 25 Years Temporal Trends in Transcatheter Aortic Valve Replacement in France: FRANCE 2 to FRANCE TAVI The Year in Cardiovascular Medicine 2020: Imaging: Looking back on the Year in Cardiovascular Medicine for 2020 in the field of imaging are Fausto Pinto, José Luis Zamorano and Chiara Bucciarelli-Ducci. Judy Ozkan speaks with them Association Between Functional Impairment and Medication Burden in Adults with Heart Failure Age-Related Characteristics and Outcomes of Patients With Heart Failure With Preserved Ejection Fraction Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure The Management of Atrial Fibrillation in Heart Failure: An Expert Panel Consensus
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Review Article2021 Jun 4;PP.

JOURNAL：IEEE Trans Med Imaging. Article Link

Dynamic Myocardial Ultrasound Localization Angiography

P Cormier, J Poree, C Bourquin et al. Keywords: dynamic myocardial ultrasound localization angiography

ABSTRACT

Dynamic Myocardial Ultrasound Localization Angiography (MULA) is an ultrasound-based imaging modality destined to enhance the diagnosis and treatment monitoring of coronary pathologies. Current diagnosis methods of coronary artery disease focus on the observation of vessel narrowing in the coronary vasculature to assess the organ’s condition. However, we would strongly benefit from mapping and measuring flow from intramyocardial arterioles and capillaries as they are the direct vehicle of the myocardium blood income. With the advent of ultrafast ultrasound scanners, imaging modalities based on the localization and tracking of injected microbubbles allow for the subwavelength resolution imaging of an organ’s vasculature. Yet, the application of these vascular imaging modalities relies on an accumulation of cine loops of a region of interest undergoing no or minimal tissue motion. This work introduces the MULA framework that combines 1) the mapping of the dynamics of the microvascular flow using an ultrasound sequence triggered by the electrocardiogram with a 2) novel Lagrangian beamformer based on non-rigid motion registration algorithm to form images directly in the myocardium’s material coordinates and thus correcting for the large myocardial motion and deformation. Specifically, we show that this framework enables the non-invasive imaging of the angioarchitecture and dynamics of intramyocardial flow in vessels as small as a few tens of microns in the rat’s beating heart in vivo.
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