Model-Based Optoacoustic Image Reconstruction of Large Three-Dimensional Tomographic Datasets Acquired With an Array of Directional Detectors
Model-Based Optoacoustic Image Reconstruction of Large Three-Dimensional Tomographic Datasets Acquired With an Array of Directional Detectors
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DOI：
10.1109/tmi.2013.2286546
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发表时间：
2014-02-01
影响因子：
10.6
通讯作者：
Ntziachristos, Vasilis
中科院分区：
文献类型：
--
作者：
Caballero, Miguel Angel Araque;Gateau, Jerome;Ntziachristos, Vasilis
3D 光声（光声）断层扫描中的图像质量很大程度上受到测量系统（特别是超声传感器的数量和空间布置）以及在重建算法中考虑传感器元件时空响应的能力的影响。在此，我们提出了一种基于时域正向模型反转的重建过程，该模型结合了由于换能器形状而产生的空间脉冲响应，随后将其应用于基于线性探测器阵列的平移旋转扫描的断层摄影系统中。所提出的方法还适用于应对高分辨率体积光声成像的数据密集型要求。对 2.10(4) 单个信号的处理产生了类似于体模中 200 μm 吸收体和生物组织中复杂血管结构的高分辨率图像。本文报告的结果表明，所引入的基于模型的方法表现出比假设点检测器的标准反投影和基于模型的算法更好的对比度和分辨率。此外，处理大型数据集的能力预计结合传感器特性的基于模型的方法可以成为体积光声图像形成的标准实践。
Image quality in 3-D optoacoustic (photoacoustic) tomography is greatly influenced by both the measurement system, in particular the number and spatial arrangement of ultrasound sensors, and the ability to account for the spatio-temporal response of the sensor element(s) in the reconstruction algorithm. Herein we present a reconstruction procedure based on the inversion of a time-domain forward model incorporating the spatial impulse response due to the shape of the transducer, which is subsequently applied in a tomographic system based on a translation-rotation scan of a linear detector array. The proposed method was also adapted to cope with the data-intensive requirements of high-resolution volumetric optoacoustic imaging. The processing of 2.10(4) individual signals resulted in well-resolved images of both similar to 200 mu m absorbers in phantoms and complex vascular structures in biological tissue. The results reported herein demonstrate that the introduced model-based methodology exhibits a better contrast and resolution than standard back-projection and model-based algorithms that assume point detectors. Moreover, the capability of handling large datasets anticipates that model-based methods incorporating the sensor properties can become standard practice in volumetric optoacoustic image formation.