Hardware-Assisted 2D/3D Intensity-Based Registration for Assessing Patellar Tracking

The problem in 2D/3D intensity-based registration of computed tomography (CT) images is to find a pose such that a digitally reconstructed radiograph (DRR) of the 3D image matches a given 2D image. Generating DRRs, a computationally intensive process, can be accelerated by precomputation [1], or by using custom hardware that accelerates volume rendering. Recent algorithmic advances for 3D texture mapping using off-the-shelf video cards have further improved volume rendering. We propose to generate DRRs generated in real time, without any precomputation, for 2D/3D registration.