A neural network approach for image reconstruction in electron magnetic resonance tomography.
A neural network approach for image reconstruction in electron magnetic resonance tomography.
复制标题
电子磁共振断层扫描图像重建的神经网络方法。
DOI：
10.1016/j.compbiomed.2007.01.010
复制
发表时间：
2007
影响因子：
7.7
通讯作者：
Murugesan,Ramachandran
中科院分区：
文献类型：
--
作者：
Durairaj,DChristopher;Krishna,MuraliC;Murugesan,Ramachandran
本文介绍了一个基于人工神经网络（ANN）的、面向对象的电子磁共振（EMR）断层成像二维空间图像重建应用系统。标准的反向传播算法被用来训练一个三层S形前馈，监督，人工神经网络进行图像重建。该网络学习使用滤波反投影（FBP）技术重建的“理想”图像与相应的投影数据（正弦图）之间的关系。网络的输入层提供有训练集，该训练集包含从EMR成像仪获取的来自各种体模以及体内对象的投影数据。对25种不同的网络结构进行了测试，以检验网络的泛化能力。训练好的人工神经网络重建二维时空图像，呈现生物系统中自由基的分布。与传统的迭代重建算法如乘性代数重建技术（MART）相比，训练好的神经网络图像重建具有更好的时间复杂度。该网络被进一步探索用于从“噪声”EMR数据中重建图像，结果显示出比FBP方法更好的性能。该网络还测试了其重建能力，从有限角度的EMR数据集。
An object-oriented, artificial neural network (ANN) based, application system for reconstruction of two-dimensional spatial images in electron magnetic resonance (EMR) tomography is presented. The standard back propagation algorithm is utilized to train a three-layer sigmoidal feed-forward, supervised, ANN to perform the image reconstruction. The network learns the relationship between the ‘ideal’ images that are reconstructed using filtered back projection (FBP) technique and the corresponding projection data (sinograms). The input layer of the network is provided with a training set that contains projection data from various phantoms as well as in vivo objects, acquired from an EMR imager. Twenty five different network configurations are investigated to test the ability of the generalization of the network. The trained ANN then reconstructs two-dimensional temporal spatial images that present the distribution of free radicals in biological systems. Image reconstruction by the trained neural network shows better time complexity than the conventional iterative reconstruction algorithms such as multiplicative algebraic reconstruction technique (MART). The network is further explored for image reconstruction from ‘noisy’ EMR data and the results show better performance than the FBP method. The network is also tested for its ability to reconstruct from limited-angle EMR data set.