4.7 Article

Dynamic Myocardial Ultrasound Localization Angiography

期刊

IEEE TRANSACTIONS ON MEDICAL IMAGING
卷 40, 期 12, 页码 3379-3388

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2021.3086115

关键词

Myocardium; Ultrasonic imaging; Imaging; Heart; Location awareness; Angiography; Doppler effect; Ultrasound imaging; cardiology; localization microscopy; motion correction; myocardial angiography

资金

  1. Fonds Quebecois de Recherche Nature et Technologies (FRQNT) [268556]
  2. Canada Foundation for Innovation [38095]
  3. IVADO through the Canada First Research Excellence Fund (Apogee/CFREF)
  4. Transmedtech Institute through the Canada First Research Excellence Fund (Apogee/CFREF)
  5. FRQNT
  6. Quebec Bio-imaging Network

向作者/读者索取更多资源

Dynamic Myocardial Ultrasound Localization Angiography (MULA) is an ultrasound-based imaging modality designed to improve the diagnosis and treatment monitoring of coronary pathologies by mapping and measuring flow from intramyocardial arterioles and capillaries. This framework combines mapping of microvascular flow dynamics triggered by an electrocardiogram with a novel Lagrangian beamformer based on non-rigid motion registration algorithm to correct large myocardial motion and deformation. The MULA framework enables non-invasive imaging of the angioarchitecture and dynamics of intramyocardial flow in vessels as small as a few tens of microns in vivo.
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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