Characterisation of a coding/reconstruction algorithm on MRI simulated noisy data

机译：MRI模拟噪声数据上编码/重构算法的表征

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In Magnetic Resonance Imaging (MRI), the presence of static magnetic field in-homogeneities introduces distortions and artifacts in the images. A coding/reconstruction algorithm for MRI, based on the assignment of different time varying frequencies (accelerations) to different spatial positions, has been tested on simulated noisy data. Results, demonstrating the method is not conditioned neither by the presence of static magnetic field in-homogeneity nor by the presence of noise, are reported. In particular, the results demonstrated that noise was not incremented and the signal was unaffected by blurring or distortions.

机译：在磁共振成像（MRI）中，静态磁场的不均匀性会在图像中引入失真和伪影。已经在模拟噪声数据上测试了基于对不同空间位置分配不同时变频率（加速度）的MRI编码/重建算法。结果表明，该方法既不受静磁场的不均匀性的影响，也不受噪声的影响。尤其是，结果表明噪声不会增加，并且信号不会受到模糊或失真的影响。

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来源
《Medical Measurements and Applications, 2009. MeMeA 2009》|2009年|156-159|共4页
会议地点 Cetraro(IT);Cetraro(IT)
作者
Placidi G.; Franchi D.; Maurizi A.;
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Dept. of Health Sci., Univ. of LAquila, L' Aquila, Italy;

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关键词
biomedical MRI; image coding; image reconstruction; medical image processing; MRI simulated noisy data; image coding algorithm; image reconstruction algorithm; magnetic resonance imaging; static magnetic field in-homogeneities; time varying frequency; MRI; acquisition sequences; coding; decoding; frequency temporal variation; modulated gradients;

机译：生物医学MRI;图像编码;图像重建;医学图像处理; MRI模拟噪声数据;图像编码算法;图像重建算法;磁共振成像;静磁场不均匀;时变频率; MRI;获取序列;编码;解码;频率时间变化;调制梯度;

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4. Characterisation of a Coding/Reconstruction Algorithm on MRI Simulated Noisy Data [C] . Giuseppe Placidi, Danilo Franchi, Alfredo Maurizi IEEE International Workshop on Medical Measurements and Applications . 2009

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5. Noisy gradient descent bit flip decoding of low density parity check codes: Algorithm and implementation. [D] . Sundararajan, Gopalakrishnan. 2016

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7. A comparison of rate 1/n convolutional codes over a simulated noisy channel using the Viterbi decoding algorithm. [O] . Haney James Howard. 1974

机译：使用Viterbi解码算法，在模拟噪声信道上比较速率n / n卷积码。

Characterisation of a coding/reconstruction algorithm on MRI simulated noisy data

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