An ITK-based implementation of intensity-based 2D/3D rigid image registration for patient setup assessment in external beam radiotherapy. The registration framework was designed to simultaneously register two projection images to a 3D image volume. The projection geometry was set up to simulate the X-ray imaging system that attached to a medical linear accelerator for cancer treatment. The normalized correlation was used as the similarity measure and the Powell's optimizer was used as the optimization method. Siddon-Jacobs fast ray-tracing algorithm was implemented to compute projection images from a 3D image volume.
A more detailed description can be found in the Insight Journal article:
Wu, J.
ITK-Based Implementation of Two-Projection 2D/3D Registration Method with an
Application in Patient Setup for External Beam Radiotherapy
The Insight Journal. July-December. 2010.
http://hdl.handle.net/10380/3245
http://www.insight-journal.org/browse/publication/784Install the Python packages:
pip install itk-twoprojectionregistrationSince ITK 4.10.0, this module is available in the ITK source tree as a Remote module. To enable it, set:
Module_TwoProjectionRegistration:BOOL=ONin ITK's CMake build configuration.
This software is distributed under the Apache 2.0 license. Please see the LICENSE file for details.