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探索基于多项式的光声断层成像图像重建插值方案。

Exploring polynomial based interpolation schemes for photoacoustic tomographic image reconstruction.

机构信息

Department of Applied Sciences, Indian Institute of Information Technology Allahabad, Jhalwa, Prayagraj 211015, India.

出版信息

Biomed Phys Eng Express. 2021 Dec 13;8(1). doi: 10.1088/2057-1976/ac3fe6.

DOI:10.1088/2057-1976/ac3fe6
PMID:34874307
Abstract

Photoacoustic tomography (PAT) imaging employing polynomial-based interpolation methods is discussed. Nearest-neighbor, bilinear, bicubic and biquintic algorithms were implemented for the construction of the model matrix, and images were formed using the Tikhonov regularization and total variation (TV) minimization procedures. The performance of the interpolation methods was assessed by comparing the reconstructed images of three numerical and two experimental phantoms. The numerical and experimental studies demonstrate that the performance of the interpolation schemes is nearly equal for large PA sources. The simplest nearest-neighbor technique provides better image reconstruction for a sparse source compared to the others. The nearest-neighbor protocol may be adopted in practice for vascular imaging using PAT.

摘要

本文讨论了基于多项式插值方法的光声断层成像(PAT)。实现了最近邻、双线性、双三次和双五次算法来构建模型矩阵,并使用 Tikhonov 正则化和总变分(TV)最小化程序形成图像。通过比较三个数值和两个实验模型的重建图像来评估插值方法的性能。数值和实验研究表明,对于大的 PA 源,插值方案的性能几乎相等。与其他方法相比,最简单的最近邻技术为稀疏源提供了更好的图像重建。在使用 PAT 进行血管成像的实践中,可以采用最近邻协议。

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