Austrian Academy of Sciences, Johann Radon Institute for Computational and Applied Mathematics, 4040 Linz, Austria.
J Biomed Opt. 2011 Aug;16(8):086002. doi: 10.1117/1.3605696.
We investigate the use of a frequency-domain reconstruction algorithm based on the nonuniform fast Fourier transform (NUFFT) for photoacoustic imaging (PAI). Standard algorithms based on the fast Fourier transform (FFT) are computationally efficient, but compromise the image quality by artifacts. In our previous work we have developed an algorithm for PAI based on the NUFFT which is computationally efficient and can reconstruct images with the quality known from temporal backprojection algorithms. In this paper we review imaging qualities, such as resolution, signal-to-noise ratio, and the effects of artifacts in real-world situations. Reconstruction examples show that artifacts are reduced significantly. In particular, image details with a larger distance from the detectors can be resolved more accurately than with standard FFT algorithms.
我们研究了基于非均匀快速傅里叶变换 (NUFFT) 的频域重建算法在光声成像 (PAI) 中的应用。基于快速傅里叶变换 (FFT) 的标准算法计算效率高,但会因伪影而影响图像质量。在我们之前的工作中,我们开发了一种基于 NUFFT 的 PAI 算法,该算法计算效率高,可以重建出具有来自时间后向投影算法的质量的图像。在本文中,我们回顾了成像质量,如分辨率、信噪比和实际情况中的伪影效应。重建示例表明,伪影显著减少。特别是,与标准 FFT 算法相比,可以更准确地分辨出离探测器距离较大的图像细节。