Fourier reconstruction in optoacoustic imaging using truncated regularized inverse k-space interpolation
Fourier reconstruction in optoacoustic imaging using truncated regularized inverse k-space interpolation
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DOI：
10.1088/0266-5611/23/6/s05
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发表时间：
2007-12-01
期刊：
影响因子：
2.1
通讯作者：
Frenz, Martin
中科院分区：
文献类型：
--
作者：
Jaeger, Michael;Schuepbach, Simon;Frenz, Martin
提出了一种新的基于傅里叶变换的重建算法来解决光声成像逆问题，提高了重建效率和图像质量。当信号傅立叶分量映射到源傅立叶分量时，傅立叶算法利用插值定律。为了克服最近邻插值、线性插值、三次插值或样条插值等插值方法以及信号数据零填充的不足之处，我们提出了一种基于为紧凑支持的信号数据明确制定的前向模型的正则化插值方法。对数字组织模型进行的模拟揭示了这种新颖的重建方法的潜力，该方法可以提高图像质量，但无需使用耗时的零填充。
A novel Fourier transform based reconstruction algorithm for solving the inverse problem in optoacoustic imaging is presented, which improves reconstruction efficiency and image quality. Fourier algorithms make use of an interpolation law when signal Fourier components are mapped to source Fourier components. To overcome inadequacies affiliated with interpolation methods such as nearest neighbour, linear, cubic or spline interpolation, together with signal data zero padding, we present a regularized interpolation method based on a forward model explicitly formulated for the compactly supported signal data. Simulations performed on a digital tissue phantom reveal the potential of this novel reconstruction method, which results in images of enhanced quality but without the need of using time-consuming zero-padding.