Suppr超能文献

基于线性阵列的光声层析成像中的相干加权三维图像重建

Coherent-weighted three-dimensional image reconstruction in linear-array-based photoacoustic tomography.

作者信息

Wang Depeng, Wang Yuehang, Zhou Yang, Lovell Jonathan F, Xia Jun

机构信息

Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, USA.

Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, USA; College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Shandong Provincial Key Laboratory of Clean Production of Fine Chemicals, Shandong Normal University, Jinan, China.

出版信息

Biomed Opt Express. 2016 Apr 20;7(5):1957-65. doi: 10.1364/BOE.7.001957. eCollection 2016 May 1.

Abstract

While the majority of photoacoustic imaging systems used custom-made transducer arrays, commercially-available linear transducer arrays hold the benefits of affordable price, handheld convenience and wide clinical recognition. They are not widely used in photoacoustic imaging primarily because of the poor elevation resolution. Here, without modifying the imaging geometry and system, we propose addressing this limitation purely through image reconstruction. Our approach is based on the integration of two advanced image reconstruction techniques: focal-line-based three-dimensional image reconstruction and coherent weighting. We first numerically validated our approach through simulation and then experimentally tested it in phantom and in vivo. Both simulation and experimental results proved that the method can significantly improve the elevation resolution (up to 4 times in our experiment) and enhance object contrast.

摘要

虽然大多数光声成像系统使用的是定制换能器阵列,但市售的线性换能器阵列具有价格实惠、手持方便以及临床认可度高的优点。它们未广泛应用于光声成像,主要原因是其仰角分辨率较差。在此,我们在不改变成像几何结构和系统的情况下,提出仅通过图像重建来解决这一限制。我们的方法基于两种先进图像重建技术的整合:基于焦线的三维图像重建和相干加权。我们首先通过模拟对我们的方法进行了数值验证,然后在体模和体内进行了实验测试。模拟和实验结果均证明,该方法可显著提高仰角分辨率(在我们的实验中提高了4倍)并增强目标对比度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fee/4871094/143183c4f7bc/boe-7-5-1957-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验