Weighted model-based optoacoustic reconstruction in acoustic scattering media
Weighted model-based optoacoustic reconstruction in acoustic scattering media
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DOI：
10.1088/0031-9155/58/16/5555
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发表时间：
2013-08-21
影响因子：
3.5
通讯作者：
Razansky, Daniel
中科院分区：
文献类型：
--
作者：
Dean-Ben, X. Luis;Ma, Rui;Razansky, Daniel
基于模型的光声反演方法能够消除与广泛采用的反投影重建算法相关的图像伪影。然而，由于组织中声学强烈不匹配区域的光声感应波的反射和散射，也可能出现明显的图像伪影。在这里，我们修改基于模型的重建方法以合并基于统计的加权，以尽量减少这些伪影。该方法与另一种称为半图像重建的加权程序进行比较，通常产生更好的结果。随后通过实验验证了基于统计的加权，在组织模型和离体小动物中存在声学不匹配的情况下，实现了光声图像重建的质量改进。
Model-based optoacoustic inversion methods are capable of eliminating image artefacts associated with the widely adopted back-projection reconstruction algorithms. Yet, significant image artefacts might also occur due to reflections and scattering of optoacoustically-induced waves from strongly acoustically-mismatched areas in tissues. Herein, we modify the model-based reconstruction methodology to incorporate statistically-based weighting in order to minimize these artefacts. The method is compared with another weighting procedure termed half-image reconstruction, yielding generally better results. The statistically-based weighting is subsequently verified experimentally, attaining quality improvement of the optoacoustic image reconstructions in the presence of acoustic mismatches in tissue phantoms and small animals ex-vivo.