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Coronary plaque redistribution after stent implantation is determined by lipid composition: A NIRS-IVUS analysis A volumetric intravascular ultrasound comparison of early drug-eluting stent thrombosis versus restenosis Impact of epicardial adipose tissue on cardiovascular haemodynamics, metabolic profile, and prognosis in heart failure Dapagliflozin for treating chronic heart failure with reduced ejection fraction Outcomes 2 Years After Transcatheter Aortic Valve Replacement in Patients at Low Surgical Risk Rivaroxaban Plus Aspirin Versus Aspirin in Relation to Vascular Risk in the COMPASS Trial Echocardiographic Screening for Pulmonary Hypertension in Congenital Heart Disease: JACC Review Topic of the Week Comparison of the Efficacy and Safety Outcomes of Edoxaban in 8040 Women Versus 13 065 Men With Atrial Fibrillation in the ENGAGE AF-TIMI 48 Trial Percutaneous Coronary Intervention for Vulnerable Coronary Atherosclerotic Plaque Primary Prevention Trial Designs Using Coronary Imaging: A National Heart, Lung, and Blood Institute Workshop
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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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