Journal
IEEE PHOTONICS JOURNAL
Volume 2, Issue 1, Pages 57-66Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPHOT.2010.2042801
Keywords
Photoacoustic tomography; deconvolution reconstruction; sparse detection angles; real-time imaging; circular geometry
Funding
- National Institutes of Health [R01 EB008085, U54 CA136398, R01 CA113453901]
- Microphotoacoustics, Inc.
- Endra, Inc.
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Photoacoustic tomography (PAT) is a fast-developing biomedical imaging technology suitable for in vivo imaging. PAT in spherical or circular geometry gives good image resolution yet is slow or expensive in signal acquisition and image formation. Reducing the number of detection angles can ameliorate such issues, usually at the expense of image quality. This paper introduces a deconvolution-based algorithm that models the imaging process as a linear and shift-invariant system. As demonstrated by the in vivo experiment, this algorithm not only runs much faster than the back-projection algorithm but also shows stronger robustness in that it provides better image quality when detection angles are sparse. Therefore, this algorithm promises to enable real-time PAT in circular geometry.
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