Image X Institute's repositories
6-DoF-Robotic-Motion-Phantom
The Robotic Motion Phantom application provides methods to accurately reproduce the full range and rate of patient-measured tumour motion using a robotically controlled phantom to provide precise 6 DoF geometric quality assurance for advanced radiotherapy approaches.
The-Real-Time-Imaging-Database
A service and database tool for serving clinical trial data related to radiation therapy and treatment of cancer
mri_distortion_toolkit
Characterisation and reporting of geometric distortion in MRI
MRI-Linac_SuperResolution
Integrating deep learning into MRI and MRI-guided radiation therapy.
contour-alignment-tool
Application for the manual alignment of contours in kV projections.
DiaphragmTracking
MATLAB code for real-time, direct diaphragm tracking during image-guided radiotherapy
MRI_DistortionPhantom
Scripts to generate a FreeCAD model of an MRI distortion phantom
KIM-QA-Analysis
Compare the QA output from KIM with the source motion files
lpips_torch2tf
Learned Perceptual Image Patch Similarity (LPIPS) converted from PyTorch to Tensorflow!
MarkerlessHNGTVTracking
Code used to create the results described in the paper "A conditional generative adversarial network approach for segmenting head and neck tumors in kV images acquired during radiation therapy"
Realtime-Benchmarking-Tools
Tools for benchmarking real-time radiotherapy systems
CTHeadDeformation
The CTHeadDeformation module is an open-sourced library for taking CT and cone-beam CT (CBCT) scans and deforming these scans in a way that simulates realistic head motion. Further information can be found in the repo wiki (https://github.com/ACRF-Image-X-Institute/CTHeadDeformation/wiki)
DVGardener
Matlab toolbox for analysis, manipulation and compression of Deformation Vector Fields (DVFs).
Motion-Included-Dose-Recon-on-Pinnacle-TPS
This repository contains codes to reconstruct motion-included delivered dose on Pinnacle TPS from the KIM motion data.
packaging_demo
tutorial for image-x on packaging python code
Voxelmap
A deep learning framework for patient-specific 3D intrafraction motion modelling and volumetric imaging