Nguyen Linh, Haltmeier Markus, Kowar Richard, Do Ngoc
Department of Mathematics, University of Idaho, 875 Perimeter Dr, Moscow, ID 83844, USA.
Department of Mathematics, University of Innsbruck, Technikerstrasse 13, 6020 Innsbruck, Austria.
SIAM J Imaging Sci. 2022;15(3):1213-1228. doi: 10.1137/21m1463409.
Photoacoustic tomography (PAT) is a non-invasive imaging modality that requires recovering the initial data of the wave equation from certain measurements of the solution outside the object. In the standard PAT measurement setup, the used data consist of time-dependent signals measured on an observation surface. In contrast, the measured data from the recently invented full-field detection technique provide the solution of the wave equation on a spatial domain at a single instant in time. While reconstruction using classical PAT data has been extensively studied, not much is known for the full field PAT problem. In this paper, we build mathematical foundations of the latter problem for variable sound speed and settle its uniqueness and stability. Moreover, we introduce an exact inversion method using time-reversal and study its convergence. Our results demonstrate the suitability of both the full field approach and the proposed time-reversal technique for high resolution photoacoustic imaging.
光声层析成像(PAT)是一种非侵入性成像模态,它需要从物体外部解的某些测量值中恢复波动方程的初始数据。在标准的PAT测量设置中,所使用的数据由在观测表面上测量的随时间变化的信号组成。相比之下,最近发明的全场检测技术所测量的数据在单个时刻提供了波动方程在空间域上的解。虽然使用经典PAT数据进行重建已经得到了广泛研究,但对于全场PAT问题却知之甚少。在本文中,我们为可变声速的后一个问题建立了数学基础,并确定了其唯一性和稳定性。此外,我们引入了一种使用时间反转的精确反演方法并研究其收敛性。我们的结果证明了全场方法和所提出的时间反转技术都适用于高分辨率光声成像。