PyDesigner¶
Welcome to the official PyDesigner project!¶
PyDesigner was inspired by NYU’s DESIGNER dMRI preprocessing pipeline to bring pre- and post- processing to every MRI imaging scientist. With PyDesigner, users are no longer confined to specific file types, operating systems, or complicated scripts just to extract DTI or DKI parameters – PyDesigner makes this easy, and you will love it!
Notable Features¶
100% Python-based scripts
Minimized package dependencies for small package footprint
Preprocessing designed to boost SNR
Accurate and fast DTI and DKI metrics via cutting-edge algorithms
One-shot preprocessing to parameter extraction
Cross-platform compatibility between Windows, Mac and Linux using Docker
Highly flexible and easy to use
Easy install with pip
Input file-format agnostic – works with .nii, .nii.gz, .mif and dicoms
Quality control metrics to evaluate data integrity – SNR graphs and outlier voxels
Uses the latest techniques from DTI/DKI literature
We welcome all DTI/DKI researchers to evaluate this software and pass on their feedback or issues through the Issues page of this project’s GitHub repository. Additionally, you may join the M-AMA Slack channel for live support.
- System Requirements
Parallel processing in PyDesigner scales almost linearly with the nummber of CPU cores present. The application is also memory-intensive due to the number of parameter maps being computed.
Based on this evaluation, for processing a single DWI using PyDesigner, we recommend the following minimum system specifications:
Ubuntu 18.04
Intel i7-9700 or AMD Ryzen 1800X [8 cores]
16 GB RAM
12 GB free storage
Nvidia CUDA-enabled GPU
Installation
NeuroDock (Docker)
Reference