Software using Nipype¶
Configurable Pipeline for the Analysis of Connectomes (C-PAC)¶
C-PAC is an open-source software pipeline for automated preprocessing and analysis of resting-state fMRI data. C-PAC builds upon a robust set of existing software packages including AFNI, FSL, and ANTS, and makes it easy for both novice users and experts to explore their data using a wide array of analytic tools. Users define analysis pipelines by specifying a combination of preprocessing options and analyses to be run on an arbitrary number of subjects. Results can then be compared across groups using the integrated group statistics feature. C-PAC makes extensive use of Nipype Workflows and Interfaces.
BRAINSTools is a suite of tools for medical image processing focused on brain analysis.
Brain Imaging Pipelines (BIPs)¶
BIPs is a set of predefined Nipype workflows coupled with a graphical interface and ability to save and share workflow configurations. It provides both Nipype Workflows and Interfaces.
BROCCOLI is a piece of software for fast fMRI analysis on many core CPUs and GPUs. It provides Nipype Interfaces.
Forward is set of tools simplifying the preparation of accurate electromagnetic head models for EEG forward modeling. It uses Nipype Workflows and Interfaces.
Limbo is a toolbox for finding brain regions that are neither significantly active nor inactive, but rather “in limbo”. It was build using custom Nipype Interfaces and Workflows.
Lyman is a high-level ecosystem for analyzing task based fMRI neuroimaging data using open-source software. It aims to support an analysis workflow that is powerful, flexible, and reproducible, while automating as much of the processing as possible. It is build upon Nipype Workflows and Interfaces.
Medimsight is a commercial service medical imaging cloud platform. It uses Nipype to interface with various neuroimaging software.
MIA MIA is a a toolkit for gray scale medical image analysis. It provides Nipype interfaces for easy integration with other software.
Mindboggle software package automates shape analysis of anatomical labels and features extracted from human brain MR image data. Mindboggle can be run as a single command, and can be easily installed as a cross-platform virtual machine for convenience and reproducibility of results. Behind the scenes, open source Python and C++ code run within a Nipype pipeline framework.
OpenfMRI is a repository for task based fMRI datasets. It uses Nipype for automated analysis of the deposited data.
serial functional Diffusion Mapping (sfDM)¶
‘sfDM <http://github.com/PIRCImagingTools/sfDM>’_ is a software package for looking at changes in diffusion profiles of different tissue types across time. It uses Nipype to process the data.
The Stanford CNI MRS Library (SMAL)¶
SMAL is a library providing algorithms and methods to read and analyze data from Magnetic Resonance Spectroscopy (MRS) experiments. It provides an API for fitting models of the spectral line-widths of several different molecular species, and quantify their relative abundance in human brain tissue. SMAL uses Nipype Workflows and Interfaces.