径向变系数波正演算子的奇异值分解

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Minam Moon, Injo Hur, Sunghwan Moon
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引用次数: 0

摘要

光声断层成像(PAT)是一种新型的、有前途的混合医学成像技术,它通过刺激电磁能量在目标物体上产生声波。声波是在物体外部测量的。其中一个关键的数学问题是重建包含诊断信息的初始函数,从声波换能器表面的波动方程的解。在此,我们提出了一种波正演算子,它赋予一个初始函数来获得单位球上波动方程的解。在超声径向变速的假设下,通过确定包含特征函数的希尔伯特空间的正交基,得到了该波正演算子的奇异值分解。此外,利用连续伽辽金方法的数值模拟结果验证了奇异值分解的反演结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients
Photoacoustic tomography (PAT) is a novel and promising technology in hybrid medical imaging that involves generating acoustic waves in the object of interest by stimulating electromagnetic energy. The acoustic wave is measured outside the object. One of the key mathematical problems in PAT is the reconstruction of the initial function that contains diagnostic information from the solution of the wave equation on the surface of the acoustic transducers. Herein, we propose a wave forward operator that assigns an initial function to obtain the solution of the wave equation on a unit sphere. Under the assumption of the radial variable speed of ultrasound, we obtain the singular value decomposition of this wave forward operator by determining the orthonormal basis of a certain Hilbert space comprising eigenfunctions. In addition, numerical simulation results obtained using the continuous Galerkin method are utilized to validate the inversion resulting from the singular value decomposition.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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