Image X Institute's Projects
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.
Application for the manual alignment of contours in kV projections.
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)
MATLAB code for real-time, direct diaphragm tracking during image-guided radiotherapy
Compare the QA output from KIM with the source motion files
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"
This repository contains codes to reconstruct motion-included delivered dose on Pinnacle TPS from the KIM motion data.
Integrating deep learning into MRI and MRI-guided radiation therapy.
Characterisation and reporting of geometric distortion in MRI
Scripts to generate a FreeCAD model of an MRI distortion phantom
tutorial for image-x on packaging python code
Toolkit for fast SGRT application development
A service and database tool for serving clinical trial data related to radiation therapy and treatment of cancer
Optimisation for topas Monte Carlo
A deep learning framework for patient-specific 3D intrafraction motion modelling and volumetric imaging