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Coronary Physiology in the Cardiac Catheterization Laboratory Fractional flow reserve in clinical practice: from wire-based invasive measurement to image-based computation Haemodynamic definitions and updated clinical classification of pulmonary hypertension Genetic analyses in a cohort of 191 pulmonary arterial hypertension patients Comparison of Coronary Computed Tomography Angiography, Fractional Flow Reserve, and Perfusion Imaging for Ischemia Diagnosis Pulmonary Hypertension in Heart Failure: Pathophysiology, Pathobiology, and Emerging Clinical Perspectives Coronary Artery Intraplaque Microvessels by Optical Coherence Tomography Correlate With Vulnerable Plaque and Predict Clinical Outcomes in Patients With Ischemic Angina Coronary Microcirculation Downstream Non-Infarct-Related Arteries in the Subacute Phase of Myocardial Infarction: Implications for Physiology-Guided Revascularization Atrial Fibrillation: JACC Council Perspectives Angiography Alone Versus Angiography Plus Optical Coherence Tomography to Guide Percutaneous Coronary Intervention: Outcomes From the Pan-London PCI Cohort
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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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