Paper
19 February 2018 A calibrated iterative reconstruction for quantitative photoacoustic tomography using multi-angle light-sheet illuminations
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Abstract
Quantitative photoacoustic tomography (q-PAT) is a nontrivial technique can be used to reconstruct the absorption image with a high spatial resolution. Several attempts have been investigated by setting point sources or fixed-angle illuminations. However, in practical applications, these schemes normally suffer from low signal-to-noise ratio (SNR) or poor quantification especially for large-size domains, due to the limitation of the ANSI-safety incidence and incompleteness in the data acquisition. We herein present a q-PAT implementation that uses multi-angle light-sheet illuminations and a calibrated iterative multi-angle reconstruction. The approach can acquire more complete information on the intrinsic absorption and SNR-boosted photoacoustic signals at selected planes from the multi-angle wide-field excitations of light-sheet. Therefore, the sliced absorption maps over whole body can be recovered in a measurementflexible, noise-robust and computation-economic way. The proposed approach is validated by the phantom experiment, exhibiting promising performances in image fidelity and quantitative accuracy.
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Yihan Wang, Tong Lu, Songhe Zhang, Shaoze Song, Bingyuan Wang, Jiao Li, Huijuan Zhao, and Feng Gao "A calibrated iterative reconstruction for quantitative photoacoustic tomography using multi-angle light-sheet illuminations", Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104943C (19 February 2018); https://doi.org/10.1117/12.2290215
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KEYWORDS
Absorption

Calibration

Acquisition tracking and pointing

Inverse optics

Photoacoustic tomography

3D modeling

Finite element methods

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