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Speed-of-sound compensated photoacoustic tomography for accurate imaging

机译:音速补偿光声层析成像技术,可精确成像

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Purpose: In most photoacoustic (PA) tomographic reconstructions, variations in speed-of-sound (SOS) of the subject are neglected under the assumption of acoustic homogeneity. Biological tissue with spatially heterogeneous SOS cannot be accurately reconstructed under this assumption. The authors present experimental and image reconstruction methods with which 2D SOS distributions can be accurately acquired and reconstructed, and with which the SOS map can be used subsequently to reconstruct highly accurate PA tomograms. Methods: The authors begin with a 2D iterative reconstruction approach in an ultrasound transmission tomography setting, which uses ray refracted paths instead of straight ray paths to recover accurate SOS images of the subject. Subsequently, they use the SOS distribution in a new 2D iterative PA reconstruction approach, where refraction of rays originating from PA sources is accounted for in accurately retrieving the distribution of these sources. Both the SOS reconstruction and SOS-compensated PA reconstruction methods utilize the Eikonal equation to model acoustic wavefront propagation. The equation is solved using a high accuracy fast marching method. Results: The authors validated the new reconstruction algorithms using numerical phantoms. For experiments they utilized the recently introduced PER-PACT method which can be used to simultaneously acquire SOS and PA data from subjects. Conclusions: It is first confirmed that it is important to take SOS inhomogeneities into account in high resolution PA tomography. The iterative reconstruction algorithms, that model acoustic refractive effects, in reconstructing SOS distributions, and subsequently using these distributions to correct PA tomograms, yield artifact-free highly accurate images. The approach of using the hybrid measurement method and the new reconstruction algorithms is successful in substantially improving the quality of PA images with a minimization of blurring and artifacts.
机译:目的:在大多数光声(PA)断层图像重建中,假设声均匀性,可以忽略对象的声速(SOS)变化。在这种假设下,无法准确地重建具有空间异构SOS的生物组织。作者介绍了实验和图像重建方法,利用这些方法可以准确地获取和重建2D SOS分布,并且可以随后使用SOS映射图来重建高精度PA断层图。方法:作者从超声透射层析成像设置中的2D迭代重建方法开始,该方法使用射线折射路径而不是直线射线路径来恢复对象的准确SOS图像。随后,他们在新的2D迭代PA重建方法中使用了SOS分布,在该方法中,从PA源发出的光线的折射可以准确地检索这些源的分布。 SOS重建和SOS补偿的PA重建方法都利用Eikonal方程来对声波前传播建模。该方程使用高精度快速行进方法求解。结果:作者使用数字体模验证了新的重建算法。对于实验,他们利用了最近引入的PER-PACT方法,该方法可用于同时从受试者获取SOS和PA数据。结论:首先证实在高分辨率PA层析成像中考虑SOS不均匀性很重要。在重建SOS分布并随后使用这些分布校正PA断层图时,对声学折射效应进行建模的迭代重建算法可生成无伪影的高精度图像。使用混合测量方法和新的重建算法的方法成功地通过最大程度地减少了模糊和伪影,大大提高了PA图像的质量。

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