搜索资源列表
Landmark-based-deep-feature-learning-master
- 此matlab包是深度学习磁共振比较好用的工具。(deep learning for MRI)
ge磁共振物理
- ge磁共振参数 介绍ge磁共振的基本理论(ge mri system data suchas mri)
reference_based_MRI_Fast_repeated_scans
- matlab程序，使用压缩感知的方法，在长期纵向的MRI中利用之前扫描结果的相似性快速成像(Matlab program, using the method of compressed sensing, in the long-term longitudinal MRI using the previous scan results similarity rapid imaging.)
WIN64
- 用于破解64位mimics17，Mimics是一个连接二维图像数据(CT,MRI,工业扫描数据...)和三维工程学应用的图像处理工具。应用领域包括：解剖学测量、三维分析、有限元分析(FEA)、客制化植入体或装置设计、加法制造(也被称为三维打印)以及手术计划和模拟。(Crack mimics17 Mimics is an image processing tool that connects two dimensional image data (CT, MRI, industrial scan
Desktop
- 用于破解32位mimics17，Mimics是一个连接二维图像数据(CT,MRI,工业扫描数据...)和三维工程学应用的图像处理工具。应用领域包括：解剖学测量、三维分析、有限元分析(FEA)、客制化植入体或装置设计、加法制造(也被称为三维打印)以及手术计划和模拟。(Used to crack 32 bit mimics17, Mimics is an image processing tool that connects two dimensional image data (CT, MRI,
2
- 用于破解32位mimics17，Mimics是一个连接二维图像数据(CT,MRI,工业扫描数据...)和三维工程学应用的图像处理工具。应用领域包括：解剖学测量、三维分析、有限元分析(FEA)、客制化植入体或装置设计、加法制造(也被称为三维打印)。(Used to crack 32 bit mimics17, Mimics is an image processing tool that connects two dimensional image data (CT, MRI, industria
Deep-ADMM-Net-master
- Net is defined over a data flow graph, which is derived from the iterative pro- cedures in Alternating Direction Method of Multipliers (ADMM) algorithm for optimizing a CS-based MRI model. In the training phase, all parameters of the net, e.g., im
BraTS2017特征提取
- 提取标注过的MRI影像的特征，每个点可展开为237维向量。(The features of the labeled MRI image are extracted, and each point can be expanded to a 237 dimensional vector.)
GABP
- 聚类实现的另外一种算法，效果OK，可以参考使用，脑部分组织分割不错。(Another algorithm implemented by clustering is OK, which can be used for reference. Partial segmentation of brain tissue is good.)
NIFTI
- 这个Matlab程序包用于处理核磁共振图像，可以读取显示、保存、制作该图像。(The Matlab package is used to process MRI images, and can read, display, save and produce the image.)
ADMM_QSM
- matlab用来处理磁共振QSM数据的小程序包(A matlab package for processing magnetic resonance QSM data)
3D脑部MRI分割
- 图像分割mr灰白质，脑腔，好几个文件，要在matlab下都运行，先运行serve那个。挺好用的(Image segmentation Mr Gray matter, brain cavity, several files, to run in matlab, run that first. Good use of)
Brain_Tumor
- 利用matlab对脑部肿瘤区域进行识别和分割(Recognition and segmentation of brain tumors using MATLAB)
fsl_preanalyze
- fsl专用于处理脑影像fMRI或MRI数据，此脚本用于MRI或fMRI数据的预处理，需要结合自己的实验设计进行适当调整(FSL is specially designed for processing fMRI or MRI data of brain images. This scr ipt is used for preprocessing of MRI or fMRI data. It needs to be adjusted properly according to its own e
sparseMRI_v0.2.tar
- 代码是关于压缩感知磁共振成像的具体实现，运行环境为MATLAB，十分经典的代码(The code is about the realization of compressed perceptual MRI. The running environment is matlab, which is a very classic code)
CS_OMP
- 是关于压缩感知磁共振成像的正交匹配追踪算法的具体实现，用于稀疏磁共振成像，可以进行仿真实验(The code is about the realization of compressed perceptual MRI. The running environment is matlab, which is a very classic code)
Medical-Imaging-Tutorial-master
- 这是一个ＭＲＩ重建的实例教程。教程中完成了ＳＥＮＳＥ、ＧＲＡＰＰＡ等并行磁共振重建。(This is an example tutorial of MRI reconstruction. In this course, parallel magnetic resonance reconstructions such as SENSE and GRAPPA were completed.)