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Proceedings Paper

Adaptive and quantitative reconstruction algorithm for photoacoustic tomography
Author(s): Shuhui Bu; Kengo Kondo; Makoto Yamakawa; Tsuyoshi Shiina; Kazuhiko Fukutani; Yasuhiro Someda; Yasufumi Asao
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Paper Abstract

Photoacoustic (PA) tomography is a rapidly developing imaging modality which can provide high contrast and spatial-resolution images of light absorption distribution in tissue. However, the quantitative reconstruction of absorption distribution is still a challenge. In this study, we propose an adaptive and quantitative reconstruction algorithm for reducing amplification of noises and artifacts in deep position due to light fluence compensation. In this method, the quantitative processing is integrated into the iterative reconstruction, and absorption coefficient distribution is iteratively updated. At each iteration step, the residual is calculated from detected PA signals and the signals calculated from a forward model by using the initial pressure which is calculated from the production of voxel value and the light fluence. By minimizing the residual, the reconstructed values are converged to the true absorption coefficient distributions. Since this method uses a global optimized compensation, better CNR can be obtained. The results of simulation and phantom experiment indicate that the proposed method provide better CNR at deep region. We expect that the capability of increasing imaging depth will broaden clinical applications.

Paper Details

Date Published: 18 February 2011
PDF: 8 pages
Proc. SPIE 7899, Photons Plus Ultrasound: Imaging and Sensing 2011, 78992G (18 February 2011); doi: 10.1117/12.871436
Show Author Affiliations
Shuhui Bu, Kyoto Univ. (Japan)
Kengo Kondo, Kyoto Univ. (Japan)
Makoto Yamakawa, Kyoto Univ. (Japan)
Tsuyoshi Shiina, Kyoto Univ. (Japan)
Kazuhiko Fukutani, Canon Inc. (Japan)
Yasuhiro Someda, Canon Inc. (Japan)
Yasufumi Asao, Canon Inc. (Japan)

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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