Awesome Neuroimaging 
Exploring, organizing, and analysing brain images and recordings. MR focused.
Exploring, organizing, and analysing brain images and recordings. MR focused.
Volumetric viewer from the AFNI suit. GUI's aesthetic defined by the '90s era Motif toolkit.
Surface and volumetric image viewer in Freesurfer suit. Uses the QT toolkit.
Volumetric viewer from FSL.
Volumetric viewer that works on windows.
DSI viewer from the dsi-studio suit of tools.
DICOM database organizer and viewer.
Multi-image Analysis GUI is a viewer for medical research images for dcm, nii, surface, etc; version 4.1 released in 2019.
Connectome workbench surface file viewer.
Naming exam card sequences.
Brain Imaging Data Structure - directory hierarchy and file naming specification.
Picture Archiving and Communication System standard used to store and transfer DICOM images from medical equipment and likely implemented by scanner manufacture. See [Siemens Healthineers Syngo Carbon](https://www.siemens-healthineers.com/en-us/digital-health-solutions/syngo-carbon), [Phillips Vue PACS](https://www.documents.philips.com/assets/20240227/5a788a79bbdd4e1986f1b12300b0e534.pdf), [GE HealthCare True PACS](https://www.gehealthcare.com/products/healthcare-it/true-pacs).
An extensible open-source imaging informatics software platform dedicated to imaging-based research.
LORIS (Longitudinal Online Research and Imaging System) is web-based data and project management software for neuroimaging research studies.
Open-source, free and secure reproducible neuroscience analysis platform.
CBRAIN is web-based software that allows neuroimaging researchers to perform computationally intensive analyses on data by connecting them to High-Performance Computing (HPC).
Real-time motion monitoring for fMRI, diffusion, and navigated T1/T2 image acquisition.
Monitor real-time acquisition of DICOM image files with AFNI.
Extracts no-reference IQMs (image quality metrics) from structural (T1w and T2w) and functional MRI (magnetic resonance imaging) data.
Tools for quality assurance in medical imaging datasets, including protocol compliance.
Validator for the Brain Imaging Data Structure.
QA and QC of scanner images.
Preprocessing workflows.
Analysis of Functional NeuroImages is a leading software suite of C, Python, R programs and shell scripts primarily developed for the analysis and display of multiple MRI modalities.
A comprehensive library of analysis tools for FMRI, MRI and diffusion brain imaging data.
Statistical Parametric Mapping refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data.
The Quantitative Neuroimaging Environment & Toolbox (QuNex) is an open-source software suite that collectively supports an extensible framework for data organization, preprocessing, quality assurance, and analyses across neuroimaging modalities.
Software packages for multiple modalities, often offering a graphical user interface.
Accessible preprocessing pipeline robust to variations in scan acquisition protocols with comprehensive error and output reporting. Input is BIDS dataset.
Best practice pipelines with pre-configured blocks using AFNI.
User-friendly software that facilitates reproducible analysis of fMRI data.
Post-processing and noise regression pipeline picks up right where fMRIprep ends.
Uses fmriprep for preprocessing fMRI data and implements a variety of additional processing steps important for functional connectivity analyses such as nuisance regression and filtering.
Legacy pipeline for maximal preprocessing.
Pipeline scripts implement the Minimal Preprocessing Pipeline (MPP) described in [Glasser et al. 2013](http://www.ncbi.nlm.nih.gov/pubmed/23668970).
A tractography software tool that maps brain connections and correlates findings with neuropsychological disorders.
Configures pipelines for processing diffusion-weighted MRI (dMRI) data.
An open source neuroimaging toolkit for processing, analyzing, and visualizing human brain MR images.
An image processing pipeline for fully automated volumetric, corticometric, and morphometric analysis of human brain imaging data.
DICOM to NIfTI converter.
A flexible DICOM converter for organizing brain imaging data into structured directory layouts.
Grassroots DICOM is a C++ library and CLI tool for DICOM medical files.
Python package and cli tool for inspecting, modifying, and creating DICOM files.
CLI focused, regular expression based, and iteration friendly BIDS conversion pipeline from [lncdtools](https://github.com/lncd/lncdtools/).
Reads Siemens .dat 'twix' raw data files. Python port of Philipp Ehses' Matlab tool mapVBVD.
Python CLI tool for generating jpg or png images from DICOM or nifti files.
Dealing with DICOM and k-space images
dicom_hinfo, dicom_hdr - Prints selected information from the DICOM file.follow script recipes defined in `Makefile`.
Keep code, data, containers under control with git and git-annex. Esp `datalad run --input=... --output=...`.
A program to add, delete and show notes for AFNI datasets.
Add AFNI nifti XML history to header to run and record any command. Part of [lncdtools](https://github.com/lncd/lncdtools/).
Software to read, write, and manipulate volumetric and/or surface data.
Shell script to combine afni and fsl tools for more robust skull stripping in patient populations.
[AFNI](https://afni.nimh.nih.gov/)'s skull stripping utility with many parameters.
[FSL](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki)'s brain extraction tool.
[ANTs](http://stnava.github.io/ANTs/) version.
Part of the [Freesurfer](https://freesurfer.net/) pipeline.
Robust Brain Extraction without parameter tweaking.
Advanced Normalization Tools includes probabilistic tissue segmentation and machine learning methods based on expert labeled data to order to maximize reliability and consistency of multiple modality image segmentation.
OpenMP parallelized [AFNI](https://afni.nimh.nih.gov/) tool to compute a nonlinearly warped version of source dataset to match a base dataset.
Warping software provided by [FSL](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki) tools.
A modular, version-controlled resource that allows researchers to use templates "off-the-shelf" and share new ones.
Unbiased standard magnetic resonance imaging template brain volume for normal population.
Spatial normalization
Voxel-by-voxel arithmetic on 1D to 4D datasets. From AFNI.
Simple but powerful program to allow mathematical manipulation of images. From FSL.
Freesurfer wrapper of fslmaths.
Tools for doing math on matrix values
[AFNI](https://afni.nimh.nih.gov/) - Program to calculate the deconvolution of a measurement 3D+time dataset with a specified input stimulus time series. This program can also perform multiple linear regression using multiple input stimulus time series.
GUI guided analysis of simple experiment based on general linear modeling. Part of [FSL](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki).
Implements linear-combination modeling of magnetic resonance spectroscopy data.
A suite of tools for MR Spectroscopy, including single voxel (SVS), MRS imaging (MRSI), functional MRS (fMRS), diffusion MRS (dwMRS), edited spectroscopy, etc.
An all-in-one software suite for state-of-the art processing and quantitative analysis of in-vivo magnetic resonance spectroscopy (MRS) data.
Fast, efficient, and physiologically-informed tool to parameterize neural power spectra.
Algorithm to assess intrinsic excitation-inhibition imbalance in MR ([Trakoshis et al, eLife, 2020](http://doi.org/10.7554/eLife.55684)).
Time-averaged T2* wrapper script using AFNI binaries from [lncdtools](https://github.com/lncd/lncdtools/).
Includes `nibabel`, `nipype`, and `nilearn`.
Functions for the input/output and visualization of medical imaging data that follow either the ANALYZE, NIfTI or AFNI formats.
Statistical Parametric Mapping refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data.
3D Image Viewer with ROI tools for Matlab (NIFTI viewer, Manual segmentation).
Tutorials and videos about neuroimaging analysis from start to finish in all the major software packages (AFNI, SPM, and FSL).
Start-to-end use cases of specific applications in neuroimaging using provenance tracking software `datalad`.
Notes from study planning to reporting and data sharing by way of acquisition, processing, analysis, and quality control.
A laundry list of online resources for MRI, fMRI, EEG, MEG.
Documentation for approaches used and/or developed by the neuroimaging core at the University of Arizona.
General neuroimaging `discuss` form. `fmriprep` suggested Q&A site.
AFNI's `discuss` instance.
A mattermoust community of neuroimagers.
A free and open platform for validating and sharing BIDS-compliant MRI, PET, MEG, EEG, and iEEG data.
National Institute of Mental Health Data Archive (NDA) makes available human subjects data collected from hundreds of research projects across many scientific domains.
NeuroImaging Tools & Resources Collaboratory library of neuroinformatics software and data.
Long-term Adolescent Brain Cognitive Development study including 1000s of longitudinal MRI scans.
A large-scale biomedical database and research resource with 500,000 research participants.
National Consortium on Alcohol and Neurodevelopment in Adolescence (4000+ MR visits).
A population-based sample of over 9500 individuals from the greater Philadelphia area, ages 8-21 years who received medical care at the CHOP network.
The Enhancing Neuro Imaging Genetics through Meta Analysis Consortium contains 50 working group's imaging and genomics data.