Small Animal Magnetic Resonance Imaging via Python.
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Updated
Mar 4, 2024 - Python
Small Animal Magnetic Resonance Imaging via Python.
Tools for creating full TVB models from individual anatomical scans
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
This repository contains the code regarding our publication: Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients
Reconstruction of preprocessed q-space images (dMRI)
A Python-based interactive tool for virtual dissection and manual refinement of diffusion MRI tractography. Supports .trk, .tck, .trx, .vtk, .vtp formats with streamline selection-deletion, ROI drawing, FreeSurfer parcellation, and whole-brain visualization.
Software that functionally segments white matter connections to generate task-specific subcomponents of fiber bundles.
A flexible framework for volume-wise artifact estimation and correction across multiple 4D neuroimaging modalities (diffusion MRI, functional MRI, and PET)
Fully supervised, healthy/malignant prostate detection in multi-parametric MRI (T2W, DWI, ADC), using a modified 2D RetinaNet model for medical object detection, built upon a shallow SEResNet backbone.
Code used for study design, MRI data processing, statistical analysis and figures in the article U-shape short-range extrinsic connectivity organisation around the human central sulcus
PUMI: neuroimaging Pipelines Using Modular workflow Integration
[NeuroImage 2021] DDSeg-Torch: PyTorch Reimplementation of Deep Learning Based Segmentation of Brain Tissue from Diffusion MRI
DWI model fitting & b-value extrapolation for 4D NIfTI/DICOM. Python CLI + Electron/React GUI with FastAPI backend: 4-step wizard, canvas NIfTI viewer, interactive ROI, 16 diffusion models (ADC, DKI, IVIM, DDC, DDVD, CTRW, FROC), and multi-b extrapolation.
Python toolkit for fast estimation of IVIM & Kurtosis diffusion MRI parameters using Machine Learning (Random Forest, Extra Trees, MLP).
Diffusion Weighted Imaging (DWI) line artifact removal
GPU-accelerated curve fitting on NVIDIA GPUs for Pyneapple
A tool for ingressing outputs from other processing pipelines (e.g., HCP, UKB) for use in QSIRecon.
Pyneapple is an advanced tool for analysing multi-exponential signal data in MR DWI images.
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