THE DIFFUSIVE ULTRASOUND MODULATED BIOLUMINESCENCE TOMOGRAPHY WITH PARTIAL DATA AND UNCERTAIN OPTICAL PARAMETERS.

IF 2.1 4区 数学 Q1 MATHEMATICS, APPLIED
Tianyu Yang, Yang Yang
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引用次数: 0

Abstract

The paper studies an imaging problem in the diffusive ultrasound-modulated bioluminescence tomography with partial boundary measurement in an anisotropic medium. Assuming plane-wave modulation, we transform the imaging problem to an inverse problem with internal data, and derive a reconstruction procedure to recover the bioluminescent source. Subsequently, an uncertainty quantification estimate is established to assess the robustness of the reconstruction. To facilitate practical implementation, we discretize the diffusive model using the staggered grid scheme, resulting in a discrete formulation of the UMBLT inverse problem. A discrete reconstruction procedure is then presented along with a discrete uncertainty quantification estimate. Finally, the reconstruction procedure is quantitatively validated through numerical examples to demonstrate the efficacy and reliability of the proposed approach and estimates.

具有部分数据和不确定光学参数的扩散超声调制生物发光层析成像。
研究了各向异性介质中具有部分边界测量的扩散超声调制生物发光层析成像问题。在平面波调制条件下,将成像问题转化为具有内部数据的逆问题,推导出生物发光源的重建过程。然后,建立不确定性量化估计来评估重建的鲁棒性。为了便于实际实现,我们使用交错网格方案离散扩散模型,从而得到UMBLT逆问题的离散公式。然后提出了一个离散的重建过程以及一个离散的不确定性量化估计。最后,通过数值算例对重构过程进行了定量验证,证明了所提方法和估计的有效性和可靠性。
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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
79
审稿时长
12 months
期刊介绍: SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.
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