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.
https://hdl.handle.net/10380/3245
https://www.insight-journal.org/browse/publication/784

Install the Python packages:

pip install itk-twoprojectionregistration

Since ITK 4.10.0, this module is available in the ITK source tree as a Remote module. To enable it, set:

Module_TwoProjectionRegistration:BOOL=ON

in ITK's CMake build configuration.

This software is distributed under the Apache 2.0 license. Please see the LICENSE file for details.