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急性冠脉综合征

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Acute Myocardial Injury in Patients Hospitalized With COVID-19 Infection: A Review Association of Thrombus Aspiration With Time and Mortality Among Patients With ST-Segment Elevation Myocardial Infarction: A Post Hoc Analysis of the Randomized TOTAL Trial Multivessel PCI Guided by FFR or Angiography for Myocardial Infarction Revascularization Strategies in STEMI with Multivessel Disease: Deciding on Culprit Versus Complete-Ad Hoc or Staged Eruptive Calcified Nodules as a Potential Mechanism of Acute Coronary Thrombosis and Sudden Death Prevalence of Angina Among Primary Care Patients With Coronary Artery Disease Invasive Versus Medical Management in Patients With Prior Coronary Artery Bypass Surgery With a Non-ST Segment Elevation Acute Coronary Syndrome: A Pilot Randomized Controlled Trial Optimum Blood Pressure in Patients With Shock After Acute Myocardial Infarction and Cardiac Arrest Cardiac Shock Care Centers: JACC Review Topic of the Week Predicting Major Adverse Events in Patients With Acute Myocardial Infarction
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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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