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Optoacoustic Imaging and Tomography: Reconstruction Approaches and Outstanding Challenges in Image Performance and Quantification

机译:光声成像和断层扫描:图像质量和图像的重建方法和挑战。

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摘要

This paper comprehensively reviews the emerging topic of optoacoustic imaging from the image reconstruction and quantification perspective. Optoacoustic imaging combines highly attractive features, including rich contrast and high versatility in sensing diverse biological targets, excellent spatial resolution not compromised by light scattering, and relatively low cost of implementation. Yet, living objects present a complex target for optoacoustic imaging due to the presence of a highly heterogeneous tissue background in the form of strong spatial variations of scattering and absorption. Extracting quantified information on the actual distribution of tissue chromophores and other biomarkers constitutes therefore a challenging problem. Image quantification is further compromised by some frequently-used approximated inversion formulae. In this review, the currently available optoacoustic image reconstruction and quantification approaches are assessed, including back-projection and model-based inversion algorithms, sparse signal representation, wavelet-based approaches, methods for reduction of acoustic artifacts as well as multi-spectral methods for visualization of tissue bio-markers. Applicability of the different methodologies is further analyzed in the context of real-life performance in small animal and clinical in-vivo imaging scenarios.
机译:本文从图像重建和量化的角度全面回顾了新兴的光声成像主题。光声成像结合了极具吸引力的功能,包括丰富的对比度和在检测各种生物目标时的多功能性,不受光散射影响的出色空间分辨率以及相对较低的实施成本。然而,由于高度异质的组织背景以散射和吸收的强烈空间变化的形式存在,生物物体为光声成像提供了一个复杂的目标。因此,提取有关组织发色团和其他生物标记物实际分布的定量信息构成了一个具有挑战性的问题。一些经常使用的近似反演公式进一步损害了图像量化。在这篇综述中,评估了当前可用的光声图像重建和量化方法,包括反投影和基于模型的反演算法,稀疏信号表示,基于小波的方法,用于减少声学伪影的方法以及多光谱方法。组织生物标志物的可视化。在小动物和临床体内成像场景下的真实生活情况下,将进一步分析不同方法的适用性。

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