Name: Brain Imaging Diffusion Group (BRIDGE) Lab
Type: Organization
Bio: BRIDGE lab specializes in cutting-edge analysis of MRI images. We develop both algorithms and pipelines to extract meaningful metrics from brain MRI images
Twitter: muscbridgelab
Location: Charleston, SC
Blog: https://medicine.musc.edu/departments/centers/cbi/dki
Brain Imaging Diffusion Group (BRIDGE) Lab's Projects
Automated Fiber Quantification
Docker container for Babak Ardekani's automatic registration toolbox
CI/CD scripts and builds for MUSC-BRIDGE application development
A Python CLI to compress studies into multi-part ZIP files with folder hierarchy preservation
A Python CLI to analyze integrity of scans in a study
The Diffusional Kurtosis Estimator (DKE) is software for processing Diffusional Kurtosis Imaging (DKI) data
Designer compiled for docker integration
A TractSeg pipeline compatible with PyDesigner outputs
A neural network trained and optimized for discrimination of epileptic subjects and its subclasses from healthy subjects
Fiber Ball Imaging (FBI) for white matter quantification
Fiber ball white matter modeling
MAMA's website
Docker container to convert PyDesigner outputs to AFQ's dt6.mat
Matlab (C) Runtime for Matlab R2019b (v.9.7) in Docker
Matlab (C) Runtime for Matlab R2020a (v.9.8) in Docker
Script designed to extract parameters from DKI maps based on ImageJ-drawn ROIs
A set of MATLAB scripts for quantification of microglia images acquired through brightfield microscopy.
A hands-free DTI, DKI, FBI and FBWM preprocessing pipeline. Information on algorithms and preprocessing steps are available at https://www.biorxiv.org/content/10.1101/2021.10.20.465189v1 A video tutorial on PyDesigner and its usage is now available at https://www.youtube.com/watch?v=mChQFuQqX3k
Automatic White Matter Bundle Segmentation