基于弹性网方法的压缩传感光声成像重建。

IF 2.2 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
Xueyan Liu, Shuo Dai, Mengyu Wang, Yining Zhang
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引用次数: 0

摘要

光声成像包括从测量的超声数据重建吸收能量密度分布的估计。基于不完整和噪声实验数据的重构任务通常是一个病态问题,需要正则化才能得到有意义的解。本文的目的是提出一种弹性网络(EN)模型来提高重建光声图像的质量。为了评估该方法的性能,进行了一系列的数值模拟和组织模拟实验。实验结果表明,与不同数值幻象、10 ~ 50 dB高斯噪声和不同正则化参数下基于l1范数和l2范数的正则化方法相比,α = 0.5的EN方法具有更好的图像质量、计算速度和抗噪能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Compressed Sensing Photoacoustic Imaging Reconstruction Using Elastic Net Approach.

Compressed Sensing Photoacoustic Imaging Reconstruction Using Elastic Net Approach.

Compressed Sensing Photoacoustic Imaging Reconstruction Using Elastic Net Approach.

Compressed Sensing Photoacoustic Imaging Reconstruction Using Elastic Net Approach.

Photoacoustic imaging involves reconstructing an estimation of the absorbed energy density distribution from measured ultrasound data. The reconstruction task based on incomplete and noisy experimental data is usually an ill-posed problem that requires regularization to obtain meaningful solutions. The purpose of the work is to propose an elastic network (EN) model to improve the quality of reconstructed photoacoustic images. To evaluate the performance of the proposed method, a series of numerical simulations and tissue-mimicking phantom experiments are performed. The experiment results indicate that, compared with the L 1-norm and L 2-normbased regularization methods with different numerical phantoms, Gaussian noise of 10-50 dB, and different regularization parameters, the EN method with α = 0.5 has better image quality, calculation speed, and antinoise ability.

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来源期刊
Molecular Imaging
Molecular Imaging Biochemistry, Genetics and Molecular Biology-Biotechnology
自引率
3.60%
发文量
21
期刊介绍: Molecular Imaging is a peer-reviewed, open access journal highlighting the breadth of molecular imaging research from basic science to preclinical studies to human applications. This serves both the scientific and clinical communities by disseminating novel results and concepts relevant to the biological study of normal and disease processes in both basic and translational studies ranging from mice to humans.
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