Non‐local means improves total‐variation constrained photoacoustic image reconstruction,Journal of Biophotonics

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Non‐local means improves total‐variation constrained photoacoustic image reconstruction
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2020-10-07 , DOI: 10.1002/jbio.202000191
Phaneendra K Yalavarthy ₁ , Sandeep Kumar Kalva ₂ , Manojit Pramanik ₂ , Jaya Prakash ₃

Affiliation

Photoacoustic/Optoacoustic tomography aims to reconstruct maps of the initial pressure rise induced by the absorption of light pulses in tissue. This reconstruction is an ill‐conditioned and under‐determined problem, when the data acquisition protocol involves limited detection positions. The aim of the work is to develop an inversion method which integrates denoising procedure within the iterative model‐based reconstruction to improve quantitative performance of optoacoustic imaging. Among the model‐based schemes, total‐variation (TV) constrained reconstruction scheme is a popular approach. In this work, a two‐step approach was proposed for improving the TV constrained optoacoustic inversion by adding a non‐local means based filtering step within each TV iteration. Compared to TV‐based reconstruction, inclusion of this non‐local means step resulted in signal‐to‐noise ratio improvement of 2.5 dB in the reconstructed optoacoustic images.

中文翻译：

非局部方法改善了总变化约束的光声图像重建

光声/光声层析成像的目的是重建由组织中光脉冲的吸收引起的初始压力升高的图。当数据采集协议涉及有限的检测位置时，这种重构是一个条件恶劣且不确定的问题。这项工作的目的是开发一种在基于迭代模型的重建过程中将降噪过程集成在一起的反演方法，以提高光声成像的定量性能。在基于模型的方案中，总变异数（TV）约束重建方案是一种流行的方法。在这项工作中，提出了一种两步方法，通过在每次电视迭代中添加基于非本地均值的滤波步骤来改善电视约束的光声反演。与基于电视的重建相比，

更新日期：2020-10-07

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