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A constrained variable projection reconstruction method for photoacoustic computed tomography without accurate knowledge of transducer responses

机译:无需精确了解换能器响应的光声计算机断层扫描的受限变量投影重建方法

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摘要

Photoacoustic computed tomography (PACT) is an emerging computed imaging modality that exploits optical contrast and ultrasonic detection principles to form images of the absorbed optical energy density within tissue. When the imaging system employs conventional piezoelectric ultrasonic transducers, the ideal photoacoustic (PA) signals are degraded by the transducers’ acousto-electric impulse responses (EIRs) during the measurement process. If unaccounted for, this can degrade the accuracy of the reconstructed image. In principle, the effect of the EIRs on the measured PA signals can be ameliorated via deconvolution; images can be reconstructed subsequently by application of a reconstruction method that assumes an idealized EIR. Alternatively, the effect of the EIR can be incorporated into an imaging model and implicitly compensated for during reconstruction. In either case, the efficacy of the correction can be limited by errors in the assumed EIRs. In this work, a joint optimization approach to PACT image reconstruction is proposed for mitigating errors in reconstructed images that are caused by use of an inaccurate EIR. The method exploits the bi-linear nature of the imaging model and seeks to refine the measured EIR during the process of reconstructing the sought-after absorbed optical energy density. Computer-simulation and experimental studies are conducted to investigate the numerical properties of the method and demonstrate its value for mitigating image distortions and enhancing the visibility of fine structures.
机译:光声计算机断层扫描(PACT)是一种新兴的计算机成像方式,它利用光学对比和超声检测原理来形成组织内吸收的光能密度的图像。当成像系统使用常规压电超声换能器时,理想的光声(PA)信号在测量过程中会因换能器的声电脉冲响应(EIR)而降低。如果无法解决,则会降低重建图像的准确性。原则上,可以通过反卷积来改善EIR对测得的PA信号的影响。随后可以通过应用假定理想化EIR的重建方法来重建图像。或者,可以将EIR的影响合并到成像模型中,并在重建过程中进行隐式补偿。无论哪种情况,校正的效果都可能受到假设EIR中的误差的限制。在这项工作中,提出了一种针对PACT图像重建的联合优化方法,以减轻由于使用不准确的EIR而导致的重建图像中的错误。该方法利用了成像模型的双线性特性,并试图在重建所追求的吸收光能密度的过程中完善所测量的EIR。进行了计算机仿真和实验研究,以研究该方法的数值特性,并证明其在减轻图像失真和增强精细结构的可见性方面的价值。

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