Description: 采用网格化GRIDDING算法对螺旋轨迹采集的MRI原始数据进行图像重建。-using grid algorithm GRIDDING spiral trajectory acquisition of MRI data from the original image reconstruction. Platform: |
Size: 4592 |
Author:凌云 |
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Description: 采用网格化GRIDDING算法对螺旋轨迹采集的MRI原始数据进行图像重建。-using grid algorithm GRIDDING spiral trajectory acquisition of MRI data from the original image reconstruction. Platform: |
Size: 4096 |
Author:凌云 |
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Description: 用2D_FFT方法重建核磁共振的图像，输入为K空间复数数据，输出为重建后的图像数据(复数)。-2D_FFT used NMR methods of image reconstruction, the importation of K space complex data, output for the reconstruction of the image data (in the plural). Platform: |
Size: 49152 |
Author: |
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Description: 显示MRI图像及窗位窗宽等变化、直接反投影、卷积反投影等。-MRI images show the window width and window level, such as changes in direct back-projection, convolution back projection and so on. Platform: |
Size: 1964032 |
Author:高旭 |
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Description: 螺旋型K空间MRI扫描的原始数据，适于做螺旋型扫描下的图形重建算法研究。-Spiral K space of the original MRI scan data, suitable for helical scan to do the next graphical reconstruction algorithm. Platform: |
Size: 1455104 |
Author:kenny |
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Description: 并行磁共振成像中基础算法GRAPPA的应用实例，一维成像，8线圈采集的数据-1D GRAPPA reconstruction from an 8-channel head array coil using least-square matrix inversion. The data were simulated from the combination of B1 fields by Biot-Savart s law and anatomical features from MPRAGE sequences Platform: |
Size: 3072 |
Author:李荣智 |
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Description: 压缩感知重构算法的功能代码 内附功能函数的详细说明-Compressed sensing reconstruction algorithm of the function code included a detailed description of performance function Platform: |
Size: 4096 |
Author:liubing |
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Description: 此代码用于完成MRI图像的压缩采样重建。它是论文"Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007中的源码-This is an implementation of Compressed Sensing reconstruction for MRI data.
It implements the non-linear conjugate sub-gradient algorithm as described in
the paper "Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007
Magn Res Med, In Press.
Platform: |
Size: 19181568 |
Author:李琳 |
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Description: CSPHANTOM is a test phantom tailored to compressed sensing MRI algorithm development. It is designed to be non-sparse under a gradient transform and to contain features difficult to reproduce with partial Fourier sampling. We hope that this phantom can be used to evaluate the quality and accuracy of compressed sensing MRI reconstruction algorithms in the noise-free domain so that real-world applications of CS MRI may be improved. Platform: |
Size: 2048 |
Author:Colin.hit |
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Description: MRI部分傅里叶变换重建，采用POCS技术通过傅里叶变换对MRI进行重建-MRI of the Fourier transform reconstruction, the POCS technology through the Fourier transform on the MRI reconstruction Platform: |
Size: 11264 |
Author:婉灵兰 |
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Description: mri重建时消除部分体积伪影，利用cross-sectional、ZEF、VEF等滤波(In the MRI reconstruction, some K spatial data are accelerated and cross-sectional filtering is used) Platform: |
Size: 12123136 |
Author:Liam_zhang
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