bioRxivNeurosciencePreprint
PyDesigner: A Pythonic Implementation of the DESIGNER Pipeline for Diffusion Tensor and Diffusional Kurtosis Imaging
Siddhartha DhimaniD, Joshua TevesiD, Kathryn E. ThorniD, Emilie T. McKinnoniD, Hunter G. MossiD, Vitria AdisetiyoiD, Benjamin Ades‐AroniD, Jelle VeraartiD, Jenny CheniD, Els FieremansiD, Andreana M. BeniteziD, Joseph A. HelperniD, Jens H. JenseniD
Abstract
PyDesigner is an open-source and containerized Python software package, adapted from the DESIGNER pipeline, for diffusion weighted magnetic resonance imaging preprocessing and tensor estimation. PyDesigner combines tools from FSL and MRtrix3 to reduce the effects of signal noise and imaging artifacts on multiple diffusion measures that can be derived from the diffusion and kurtosis tensors. This publication describes the main features of PyDesigner and highlights its ease of use across platforms, while examining its accuracy and robustness in deriving commonly used diffusion and kurtosis metrics.
- assay: multiome
- research focus: dimensionality reduction
- research focus: benchmarking
- research focus: software / tool
- approach: experimental assay
- Citations
- 15
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project
Rafael Neto Henriques, Marta Correia, … Ariel Rokem·Frontiers in Human NeurosciencePeer-reviewed·Jul 19, 2021
- In vivo Correlation Tensor MRI reveals microscopic kurtosis in the human brain on a clinical 3T scanner
Lisa Novello, Rafael Neto Henriques, … Jorge Jovicich·NeuroImagePeer-reviewed·Mar 23, 2022
- Integrated Diffusion Image Operator (iDIO): A tool for automated configuration and processing of diffusion MRI data
Chih‐Chin Heather Hsu, Shin Tai Chong, … Ching‐Po Lin·bioRxiv·Mar 14, 2022
- skiftiTools: An R package for reading, writing, analysing, and visualising, tract-based spatial statistics (TBSS) derived diffusion MR images
Jetro J. Tuulari, Aaron Barron, … Harri Merisaari·bioRxiv·Oct 26, 2025
- ACID: A Comprehensive Toolbox for Image Processing and Modeling of Brain, Spinal Cord, and Post-mortem Diffusion MRI Data
Gergely Dávid, Björn Fricke, … Siawoosh Mohammadi·Imaging NeurosciencePeer-reviewed·Jan 1, 2024
- Investigating apparent differences between standard DKI and axisymmetric DKI and its consequences for biophysical parameter estimates
J. M. Oeschger, K. Tabelow, S. Mohammadi·bioRxiv·Jun 21, 2023