
MRI数据基于Nipype的相关处理
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BrainNet Viewer中选择不同模板的surface file所呈现的不同效果对比
BrainNet Viewer中选择不同模板的surface file所呈现的不同效果对比@TOCBrainNet Viewer中选择不同模板的surface file所呈现的不同效果对比BrainMesh_Ch2.nvBrainMesh_Ch2_smoothed.nvBrainMesh_Ch2withCerebellum.nvBrainMesh_ICBM152.nvBrainMesh_ICBM152_smoothed.nvBrainMesh_ICBM152_smoothed_tal.nvBrainMe原创 2024-07-15 14:25:25 · 932 阅读 · 0 评论 -
MRI数据格式转换——基于Nipype/FreeSurfer
1. 将数据转换为Nifti格式a. 用MRICro的MRIConvert进行数据格式的转换b. 用FreeSurfer’的 mri_convert函数,鉴于大多数的scanner格式默认为DICOM,这里我们介绍怎样将DICOM格式转换为Nifiti格式。 首先需要确认文件夹的结构,假设dicom文件存放在一个名为raw_data的文件夹内,其结构类型如下:raw_di翻译 2017-08-26 23:44:26 · 6951 阅读 · 1 评论 -
How To Build A Pipeline
原文网址:miykael.github.io/nipype-beginner-s-guide/firstSteps.html转载 2017-09-12 20:27:45 · 1918 阅读 · 0 评论 -
nypipe相关软件的安装
相关链接:nipype.readthedocs.io/en/latest/miykael.github.io/nipype-beginner-s-guide/https://github.com/miykael转载 2017-09-08 19:00:30 · 333 阅读 · 0 评论 -
Introduction to Neuroimaging
The quality of the measured data depends on the resolution and the following parameters:repetition time (TR): time required to scan one volume acquisition time (TA): time required to scan one slice. T转载 2017-09-09 15:47:33 · 375 阅读 · 0 评论 -
Analysis Steps of MRI data
1. the general procedure for fMRI analysis can be divided into the following three steps:Preprocessing: Spatial and temporal preprocessing of the data to prepare it for the 1st and 2nd level infer转载 2017-09-10 00:00:20 · 809 阅读 · 0 评论 -
Nipype and Neuroimaging
As you’ve seen in the previous chapter, there are many steps involved in the analysis of neuroimaging data. And there are even more possibilities to combine them. And adding to all this complexity, th转载 2017-09-11 13:43:59 · 507 阅读 · 0 评论 -
Prepare your Dataset
1. prepare the folder structure manuallythe structure should be something like this:nipype_tutorial|-- data |-- demographics.txt |-- sub001 | |-- behavdata_run001.txt |转载 2017-09-11 23:00:46 · 422 阅读 · 0 评论