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从声学非均匀组织中的散斑噪声中提取光声层析成像。

Photoacoustic tomography extracted from speckle noise in acoustically inhomogeneous tissue.

作者信息

Wu Dan, Tao Chao, Liu Xiaojun

机构信息

MOE Key Laboratory of Modern Acoustics, Nanjing University, Nanjing 210093, China.

出版信息

Opt Express. 2013 Jul 29;21(15):18061-7. doi: 10.1364/OE.21.018061.

Abstract

Photoacoustic tomography is usually limited to acoustically homogeneous tissue. A hybrid scheme is developed to break this limitation by utilizing ultrasound to determine the unknown Green's function of inhomogeneous tissue. The method can effectively decrease the distortion and false contrast in images by extracting information from speckle noise. The method does not depend on the prior knowledge of tissue and the medium complexity. Moreover, the estimation of Green's function and the photoacoustic detection are performed by the same transducer. Therefore, the scheme could be easily integrated into a classical photoacoustic tomography system and extend its application in speckle environment.

摘要

光声层析成像通常局限于声学均匀的组织。通过利用超声来确定非均匀组织未知的格林函数,开发了一种混合方案以突破这一限制。该方法能够通过从散斑噪声中提取信息,有效降低图像中的失真和伪对比度。该方法不依赖于组织的先验知识以及介质的复杂性。此外,格林函数的估计和光声检测由同一换能器进行。因此,该方案能够轻松集成到传统的光声层析成像系统中,并扩展其在散斑环境中的应用。

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