Department of Biomedical Engineering, Medical Imaging Research Center, Illinois Institute of Technology, Chicago, IL 60616, USA.
IEEE Trans Med Imaging. 2011 Feb;30(2):203-14. doi: 10.1109/TMI.2010.2072514. Epub 2010 Sep 2.
Optoacoustic tomography (OAT) is a hybrid imaging modality that combines the advantages of optical and ultrasound imaging. Most existing reconstruction algorithms for OAT assume that the ultrasound transducers employed to record the measurement data are point-like. When transducers with large detecting areas and/or compact measurement geometries are utilized, this assumption can result in conspicuous image blurring and distortions in the reconstructed images. In this work, a new OAT imaging model that incorporates the spatial and temporal responses of an ultrasound transducer is introduced. A discrete form of the imaging model is implemented and its numerical properties are investigated. We demonstrate that use of the imaging model in an iterative reconstruction method can improve the spatial resolution of the optoacoustic images as compared to those reconstructed assuming point-like ultrasound transducers.
光声断层扫描(OAT)是一种混合成像模式,结合了光学和超声成像的优势。大多数现有的 OAT 重建算法都假设用于记录测量数据的超声换能器是点状的。当使用具有大检测面积和/或紧凑测量几何形状的换能器时,这种假设会导致重建图像中的明显图像模糊和失真。在这项工作中,引入了一种新的 OAT 成像模型,该模型结合了超声换能器的空间和时间响应。实现了成像模型的离散形式,并研究了其数值特性。我们证明,与假设使用点状超声换能器的重建方法相比,在迭代重建方法中使用成像模型可以提高光声图像的空间分辨率。