摘要
A practical image reconstruction method for multi-source quantitative photoacoustic tomography （QPAT） is proposed in this work with the consideration of detector response function and limited-view scanning. First, the correct detector response function, i.e., spa- tim impulse response （SIR） and acousto-electric impulse response （EIR）, is considered for the ultrasonic transducer to accurately model the acoustic measurement; second, acoustic data is only measured near optical sources with meaningful signal-to-noise ratio （SNR）, i.e., the limited-view scanning, which also reduces the data acquisition time for point trans- ducer. However, due to the incomplete limited-view data, a two-step image reconstruction method （i.e., to first reconstruct initial acoustic pressure and then reconstruct optical coef- ficients） no longer applies, since it is neither possible nor necessary to robustly reconstruct initial acoustic pressure with limited-view data. Therefore, here we propose a direct image reconstruction method that incorporates SIR, EIR and limited-view scanning in a coupled opto-acoustic forward model, regularizes the framelet sparsity, and then solves the QPAT alternating direction method of multipliers. nonlinear QPAT data fidelity with tensor problem with Quasi-Newton method based
A practical image reconstruction method for multi-source quantitative photoacoustic tomography （QPAT） is proposed in this work with the consideration of detector response function and limited-view scanning. First, the correct detector response function, i.e., spa- tim impulse response （SIR） and acousto-electric impulse response （EIR）, is considered for the ultrasonic transducer to accurately model the acoustic measurement; second, acoustic data is only measured near optical sources with meaningful signal-to-noise ratio （SNR）, i.e., the limited-view scanning, which also reduces the data acquisition time for point trans- ducer. However, due to the incomplete limited-view data, a two-step image reconstruction method （i.e., to first reconstruct initial acoustic pressure and then reconstruct optical coef- ficients） no longer applies, since it is neither possible nor necessary to robustly reconstruct initial acoustic pressure with limited-view data. Therefore, here we propose a direct image reconstruction method that incorporates SIR, EIR and limited-view scanning in a coupled opto-acoustic forward model, regularizes the framelet sparsity, and then solves the QPAT alternating direction method of multipliers. nonlinear QPAT data fidelity with tensor problem with Quasi-Newton method based
