Contrast-Enhanced Ultrasound to Quantifyc Perfusion in a Machine-Perfused Pig Liver
Melinda Chen, Qian Li, Negin Karimian, Heidi Yeh, Yu Duan, Fermin Fontan, Mohamed M. Aburawi, Brian Anthony, Korkut Uygun, Anthony E. Samir
Abstract
Melinda Chen, Qian Li, Negin Karimian, Heidi Yeh, Yu Duan, Fermin Fontan, Mohamed M. Aburawi, Brian Anthony, Korkut Uygun, Anthony E. Samir
Abstract
This paper introduces a non-invasive, contrastenhanced ultrasound (CEUS) infusion method to quantify the health of viable donor livers. The method uses the infusion of microbubbles and their destruction and subsequent replenishment to measure the perfusion rate in the liver microvasculature. The proposed method improves on the previous parameter extraction approaches applied to the flashreplenishment technique by addressing the effects of the microbubble mixing within the perfusate bath and destruction rate. By doing so, the tissue perfusion rate can be extracted from the data even though the microbubble concentration is not constant throughout image acquisition. The measured changes in the tissue perfusion rate showed that CEUS infusion is a viable biomarker for assessing liver health.
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This paper introduces a non-invasive, contrastenhanced ultrasound (CEUS) infusion method to quantify the health of viable donor livers. The method uses the infusion of microbubbles and their destruction and subsequent replenishment to measure the perfusion rate in the liver microvasculature. The proposed method improves on the previous parameter extraction approaches applied to the flashreplenishment technique by addressing the effects of the microbubble mixing within the perfusate bath and destruction rate. By doing so, the tissue perfusion rate can be extracted from the data even though the microbubble concentration is not constant throughout image acquisition. The measured changes in the tissue perfusion rate showed that CEUS infusion is a viable biomarker for assessing liver health.
Key concepts: Perfusion, Ultrasound, Contrast-enhanced ultrasound, Contrast (vision), Pig liver, Computer science, Biomedical engineering, Radiology