GPU-based cone beam computed tomography

The use of cone beam computed tomography (CBCT) is growing in the clinical arena due to its ability to provide 3-D information during interventions, its high diagnostic quality (sub-millimeter resolution), and its short scanning times (60 seconds). In many situations, the short scanning time of CBCT is followed by a time consuming 3-D reconstruction. The standard reconstruction algorithm for CBCT data is the filtered backprojection, which for a volume of size 2563 takes up to 25 minutes on a standard system. Recent developments in the area of Graphic Processing Units (GPUs) make it possible to have access to high performance computing solutions at a low cost, allowing for use in applications to many scientific problems. We have implemented an algorithm for 3-D reconstruction of CBCT data using the Compute Unified Device Architecture (CUDA) provided by NVIDIA (NVIDIA Cor., Santa Clara, California),which was executed on a NVIDIA GeForce 8800GT. Our implementation results in improved reco...

• Type: Journal
• Year: 2010
• Where: CMPB
• Authors: Peter B. Noël, Alan M. Walczak, Jinhui Xu, Jason J. Corso, Kenneth R. Hoffmann, Sebastian Schafer
• Keywords: 3-d Reconstruction, CBCT Data, CMPB 2010, Short Scanning Time