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Limited-view Multi-source Photoacoustic Tomography with Finite Transducer Dimension

机译:具有有限换能器尺寸的有限视野多源光声层析成像

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Quantitative photoacoustic tomography (QPAT) is a hybrid imaging modality that simultaneously reconstructs absorption and scattering coefficients with multi-source or multi-wavelength setting. In contrast with PAT, QPAT eliminates the artifacts due to photon transfer in depth and characterizes the intrinsic biological attributes. However, data acquisition for QPAT is time consuming because for each optical source (or wavelength), a 360-degree acoustic measurement on the boundary of imaging region is required. In this work, we investigate a novel limited-view multi-source (LVMS) QPAT scheme and reconstruction algorithm based on coupled opto-acousto model. A unique setting that binds optical source and acoustic detector together is presented. Under each illumination, only a limited-view measurement is acquired, which is incomplete for PAT reconstruction but sufficient for direct QPAT reconstruction; then the source and detector rotate to next data acquisition position synchronously. In terms of reconstruction, a sparsity-regularized formulation based on total variation norm is adopted here and optimized through alternating direction method of multipliers with LBFGS solver, during which the adjoint method is used for rapid computation of numerical gradient of objective function. However, the aperture effect i.e. anisotropic angular sensitivity of a finite-dimension transducer would cause temporal distortion of receiving acoustic signal and further resolution reduction. Therefore, we numerically integrate ideal PAT system spatial impulse response (SIR) with the angular response from circular transducer to improve the modeling accuracy. In summary, the proposed LVMS-QPAT has the potential to shorten the data acquisition time, enhance system SNR and improve image resolution.
机译:定量光声层析成像(QPAT)是一种混合成像方式,可同时通过多源或多波长设置来重建吸收系数和散射系数。与PAT相比,QPAT消除了由于光子深度转移而造成的伪影,并表征了固有的生物学属性。但是,QPAT的数据获取很耗时,因为对于每个光源(或波长),都需要在成像区域的边界上进行360度声学测量。在这项工作中,我们研究了一种新颖的基于耦合光声模型的有限视图多源(LVMS)QPAT方案和重构算法。提出了将光源和声学检测器绑定在一起的独特设置。在每次照明下,仅获取有限视角的测量,这对于PAT重建而言是不完整的,但对于直接QPAT重建而言是足够的;然后,源和检测器同步旋转到下一个数据采集位置。在重构方面,这里采用基于总变分范数的稀疏正则公式,并通过与LBFGS求解器的乘法器交替方向法进行优化,在此过程中,伴随法用于目标函数数值梯度的快速计算。但是,孔径效应,即有限尺寸换能器的各向异性角灵敏度将导致接收声信号的时间失真并进一步降低分辨率。因此,我们在数值上将理想的PAT系统空间脉冲响应(SIR)与圆形换能器的角度响应进行集成,以提高建模精度。综上,所提出的LVMS-QPAT有可能缩短数据采集时间,提高系统SNR并提高图像分辨率。

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