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Dual Antiplatelet Therapy Duration in Medically Managed Acute Coronary Syndrome Patients: Sub-Analysis of the OPT-CAD Study Why NOBLE and EXCEL Are Consistent With Each Other and With Previous Trials Differential prognostic effect of intravascular ultrasound use according to implanted stent length Transcatheter Aortic Valve Replacement: Role of Multimodality Imaging in Common and Complex Clinical Scenarios 1-Year Outcomes of Delayed Versus Immediate Intervention in Patients With Transient ST-Segment Elevation Myocardial Infarction 5-Year Outcomes After TAVR With Balloon-Expandable Versus Self-Expanding Valves: Results From the CHOICE Randomized Clinical Trial Accuracy of Fractional Flow Reserve Derived From Coronary Angiography Association of Sustained Blood Pressure Control with Multimorbidity Progression Among Older Adults Nonculprit Lesion Plaque Morphology in Patients With ST-Segment–Elevation Myocardial Infarction: Results From the COMPLETE Trial Optical Coherence Tomography Substudys Differential Impact of Heart Failure With Reduced Ejection Fraction on Men and Women
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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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