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Proceedings Paper

Photoacoustic and Doppler ultrasound for oxygen consumption estimation: implementation on a clinical array system
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Paper Abstract

Recently, we have developed a combined photoacoustic and high-frequency Doppler ultrasound system with a single element transducer to estimate the metabolic rate of oxygen consumption in small animal models. However, the long scanning time due to mechanical motion may be a limitation of our swept-scan system. In this work, the single element transducer was replaced by a clinical array transducer which may provide more accurate flow velocity estimations, higher frame rates, improved penetration depth, and improved depth-of-field due to dynamic focusing capabilities. We used an array system from Verasonics Inc. which enables flexible pulse-sequence programming and parallel channel data acquisition, along with a pulsed laser and optical parametric oscillator. For flow estimation, we implemented a flash- Doppler sequence which transmits ensembles of plane-wave excitations. Echo signals are beamformed and subjected to wall-filtering and Kasai flow estimation algorithms. High frame rates over a wide region can be achieved. Combined interlaced photoacoustic and Doppler imaging on flow phantoms has been performed on this system. We demonstrate the ability to image animal blood to depths of 1.5-cm with high signal-to-noise with both modalities. The light penetration is 2-cm. We discuss the performance of Doppler flow estimation and photoacoustic oxygen saturation estimation and their role in future work of estimating oxygen consumption.

Paper Details

Date Published: 22 February 2011
PDF: 6 pages
Proc. SPIE 7899, Photons Plus Ultrasound: Imaging and Sensing 2011, 789941 (22 February 2011); doi: 10.1117/12.875754
Show Author Affiliations
Yan Jiang, Univ. of Alberta (Canada)
Tyler Harrison, Univ. of Alberta (Canada)
Roger J. Zemp, Univ. of Alberta (Canada)

Published in SPIE Proceedings Vol. 7899:
Photons Plus Ultrasound: Imaging and Sensing 2011
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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