@inproceedings{d4e895033da246269716157aef4e1bd8,
title = "Why do commodity graphics hardware boards (GPUs) work so well for acceleration of computed tomography?",
abstract = "Commodity graphics hardware boards (GPUs) have achieved remarkable speedups in various sub-areas of Computed Tomography (CT). This paper takes a close look at the GPU architecture and its programming model and describes a successful acceleration of Feldkamp's cone-beam CT reconstruction algorithm. Further, we will also have a comparative look at the new emerging Cell architecture in this regard, which similar to GPUs has also seen its first deployment in gaming and entertainment. To complete the discussion on high-performance PC-based computing platforms, we will also compare GPUs with FPGA (Field Programmable Gate Array) based medical imaging solutions.",
keywords = "Computed Tomography, Cone-beam reconstruction, GPU, Graphics hardware, High-performance computing",
author = "Klaus Mueller and Fang Xu and Neophytes Neophytou",
year = "2007",
doi = "10.1117/12.716797",
language = "English",
isbn = "0819466115",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging V",
note = "Computational Imaging V ; Conference date: 29-01-2007 Through 31-01-2007",
}