Fast Intensity-based 2D-3D Image Registration of Clinical Data Using Light Fields

Registration of a preoperative CT (3D) image to one or more X-ray projection (2D) images, a special case of the pose estimation problem, has been attempted in a variety of ways with varying degrees of success. Recently, there has been a great deal of interest in intensity-based methods. One of the drawbacks to such methods is the need to create digitally reconstructed radiographs (DRRs) at each step of the optimization process. DRRs are typically generated by ray casting, an operation that requires ??? time, where we assume that ? is approximately the size (in voxels) of one side of the DRR as well as one side of the CT volume. We address this issue by extending light field rendering techniques from the computer graphics community to generate DRRs instead of conventional rendered images. Using light fields allows most of the computation to be performed in a preprocessing step; after this precomputation, very accurate DRRs can be generated in ??? time. Another important issue for 2D-3D...

• Type: Conference
• Year: 2003
• Where: ICCV
• Authors: Daniel B. Russakoff, Torsten Rohlfing, Calvin R. Maurer Jr.
• Keywords: 2D-3D Registration Algorithms, Clinical Data, Computer Vision, Conventional Rendered Images, ICCV 2003, Light Fields, Pose Estimation Problem