In search of the optimal ultrasound heart perfusion imaging platform
2015 (English)In: Journal of ultrasound in medicine, ISSN 0278-4297, E-ISSN 1550-9613, Vol. 34, no 9, 1599-1605 p.Article in journal (Refereed) Published
Quantification of the myocardial perfusion by contrast echocardiography (CEC) remains a challenge. Existing imaging phantoms used to evaluate the performance of ultrasound scanners do not comply with perfusion basics in the myocardium, where perfusion and motion are inherently coupled.
To contribute towards an improvement, we developed a CEC perfusion imaging platform based on isolated rat heart coupled to the ultrasound scanner. Perfusion was assessed using three different types of contrast agent: dextran-based Promiten®, phospholipid-shelled SonoVue®, and polymer-shelled MB-pH5-RT. The myocardial video-intensity was monitored over time from contrast administration to peak and two characteristic constants were calculated using exponential fit (A representing capillary volume and b representing inflow velocity).
Acquired experimental evidence demonstrates that the application of all three types of contrast agent allow ultrasonic estimation of myocardial perfusion in the isolated rat heart. Video-intensity maps show that an increase in contrast concentration increases the late plateau values, A, mimicking increased capillary volume. Estimated values of the flow, proportional to Axb, increase when the pressure of the perfusate column increases from 80 to 110 cm of water. This finding is in agreement with the true values of the coronary flow increase measured by the flowmeter attached to the aortic cannula.
The described CEC perfusion imaging platform holds promise for standardized evaluation and optimization of ultrasound contrast perfusion imaging where real time inflow curves at low acoustic power semi-quantitatively reflect coronary flow.
Place, publisher, year, edition, pages
2015. Vol. 34, no 9, 1599-1605 p.
Medical Equipment Engineering Medical Materials Medical Image Processing
IdentifiersURN: urn:nbn:se:kth:diva-159764DOI: 10.7863/ultra.15.14.10019ISI: 000360777600010ScopusID: 2-s2.0-84940377638OAI: oai:DiVA.org:kth-159764DiVA: diva2:787385
QC 20151006. Updated from accepted to published.2015-02-102015-02-102015-10-21Bibliographically approved