...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Medical Imaging >Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography
【24h】

Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography

机译：定量光声层析成像中的贝叶斯图像重建

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Quantitative photoacoustic tomography is an emerging imaging technique aimed at estimating chromophore concentrations inside tissues from photoacoustic images, which are formed by combining optical information and ultrasonic propagation. This is a hybrid imaging problem in which the solution of one inverse problem acts as the data for another ill-posed inverse problem. In the optical reconstruction of quantitative photoacoustic tomography, the data is obtained as a solution of an acoustic inverse initial value problem. Thus, both the data and the noise are affected by the method applied to solve the acoustic inverse problem. In this paper, the noise of optical data is modelled as Gaussian distributed with mean and covariance approximated by solving several acoustic inverse initial value problems using acoustic noise samples as data. Furthermore, Bayesian approximation error modelling is applied to compensate for the modelling errors in the optical data caused by the acoustic solver. The results show that modelling of the noise statistics and the approximation errors can improve the optical reconstructions.
机译：定量光声层析成像技术是一种新兴的成像技术，旨在通过结合光学信息和超声传播形成的光声图像来估计组织内部的生色团浓度。这是一种混合成像问题，其中一个反问题的解用作另一个不适定反问题的数据。在定量光声层析成像的光学重建中，获得数据作为声学逆初始值问题的解决方案。因此，数据和噪声都受到用于解决声学逆问题的方法的影响。在本文中，通过使用声噪声样本作为数据来解决几个声逆初始值问题，将光学数据的噪声建模为均值和协方差近似的高斯分布。此外，应用贝叶斯近似误差建模来补偿由声学求解器引起的光学数据中的建模误差。结果表明，噪声统计和近似误差的建模可以改善光学重建。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号