The “quasi-stable” lipid shelled microbubble in response to consecutive ultrasound pulses. doi:10.1063/1.4746258
The acoustic scatter from single biSphere microbubbles. DOI: 10.1016/j.ultrasmedbio.2010.07.002
The “quasi-stable” lipid shelled microbubble in response to consecutive ultrasound pulses. doi:10.1063/1.4746258
The acoustic scatter from single biSphere microbubbles. DOI: 10.1016/j.ultrasmedbio.2010.07.002
Microvasculature perfusion has been shown to be an important biomarker for a number of disease states and their therapy.
At the University of Edinburgh, we used a translational in-vivo animal model to develop new quantitative microvascular imaging tools, based on tracking of ultrasound contrast agents (microbubbles 1-10um in diameter) within capillaries.
In an on-going collaboration with the Department of Experimental Echocardiography at Erasmus Medical Centre, Rotterdam, we designed ultra-high speed (~12MHz frame rates) optical experiments to measure the oscillations of microbubbles in near capillary sized tubes (~25μm).
We developed numerical ordinary differential equation models of the radial oscillations of microbubbles with researchers at the University of Thessaly, Greece, and developed new methods to compare in-vitro and in-vivo experimental data using parameter estimation and signal analysis.
At the University of Edinburgh, we used a translational in-vivo animal model to develop new quantitative microvascular imaging tools, based on tracking of ultrasound contrast agents (microbubbles 1-10um in diameter) within capillaries.
In an on-going collaboration with the Department of Experimental Echocardiography at Erasmus Medical Centre, Rotterdam, we designed ultra-high speed (~12MHz frame rates) optical experiments to measure the oscillations of microbubbles in near capillary sized tubes (~25μm).
We developed numerical ordinary differential equation models of the radial oscillations of microbubbles with researchers at the University of Thessaly, Greece, and developed new methods to compare in-vitro and in-vivo experimental data using parameter estimation and signal analysis.
