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Proceedings Paper

3D photoacoustic imaging using a staring-sparse array with 60 transducers
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Paper Abstract

Photoacoustic imaging is a hybrid imaging modality capable of producing images based on optical contrast, but with depth penetration and resolution similar to ultrasound imaging. In this work, a staring, sparse approach to 3D photoacoustic imaging was used to image a number of objects. The photoacoustic system described in this paper improved upon a previous generation that contained 30 commercial transducers, by incorporating 60 custom-built transducers into a compact hemispherical array. Imaging was performed by acquiring an experimental estimate of the imaging operator and solving a linear system model to provide an estimate of the object. The imaging operator contained 18,000 voxels, each at 0.5-mm isotropic resolution. The dimensions of the imaging operator were 30 mm × 30 mm × 2.5 mm. In the first experiment, a black wire was arranged in a triangular shape and imaged in a 0.3% IntralipidTM solution. The second experiment utilized a rotating human hair, where the hair was imaged at different angular positions. Both objects were successfully captured with reasonable accuracy, though image artifacts were present in both sets of images. The experimental results demonstrated that objects of substantial geometrical complexity could be reconstructed using measurements from only 60 transducers with prior knowledge of the imaging operator.

Paper Details

Date Published: 23 February 2012
PDF: 6 pages
Proc. SPIE 8223, Photons Plus Ultrasound: Imaging and Sensing 2012, 82233F (23 February 2012); doi: 10.1117/12.908841
Show Author Affiliations
Michael B. Roumeliotis, Lawson Health Research Institute (Canada)
The Univ. of Western Ontario (Canada)
Ivan Kosik, Lawson Health Research Institute (Canada)
The Univ. of Western Ontario (Canada)
Jeffrey J. L. Carson, Lawson Health Research Institute (Canada)
The Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 8223:
Photons Plus Ultrasound: Imaging and Sensing 2012
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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