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Proceedings Paper

Myocardial contrast echocardiography to assess perfusion in a mouse model of ischemia/reperfusion injury
Author(s): John A. Hossack; Yinbo Li; Jonathan P. Christensen; Zequan Yang; Brent A. French
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Paper Abstract

Noninvasive approaches for measuring anatomical and physiological changes resulting from myocardial ischemia / reperfusion injury in the mouse heart have significant value since the mouse provides a practical, low-cost model for modeling human heart disease. In this work, perfusion was assessed before, during and after an induced closed- chest, coronary ischemic event. Ultrasound contrast agent, similar to MP1950, in a saline suspension, was injected via cannulated carotid artery as a bolus and imaged using a Siemens Sequoia 512 scanner and a 15L8 intraoperative transducer operating in second harmonic imaging mode. Image sequences were transferred from the scanner to a PC for analysis. Regions of interest were defined in septal and anterior segments of the myocardium. During the ischemic event, when perfusion was diminished in the anterior segment, mean video intensity in the affected segment was reduced by one half. Furthermore, following reperfusion, hyperemia (enhanced blood flow) was observed in the anterior segment. Specifically, the mean video intensity in the affected segment was increased by approximately 50% over the original baseline level prior to ischemia. Following the approach of Kaul et al., [1], gamma variate curves were fitted to the time varying level of mean video intensity. This foundation suggests the possibility of quantifying myocardial blood flow in ischemic regions of a mouse heart using automated analysis of contrast image data sets. An improved approach to perfusion assessment using the destruction-reperfusion approach [2] is also presented.

Paper Details

Date Published: 28 April 2004
PDF: 10 pages
Proc. SPIE 5373, Medical Imaging 2004: Ultrasonic Imaging and Signal Processing, (28 April 2004); doi: 10.1117/12.540347
Show Author Affiliations
John A. Hossack, Univ. of Virginia (United States)
Yinbo Li, Univ. of Virginia (United States)
Jonathan P. Christensen, Univ. of Virginia (United States)
Zequan Yang, Univ. of Virginia (United States)
Brent A. French, Univ. of Virginia (United States)


Published in SPIE Proceedings Vol. 5373:
Medical Imaging 2004: Ultrasonic Imaging and Signal Processing
William F. Walker; Stanislav Y. Emelianov, Editor(s)

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