Mr. Xinwei Xue Profile

Xinwei Xue

at Univ of Utah

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Proceedings Article | 2 March 2006 Paper

Acceleration of fluoro-CT reconstruction for a mobile C-arm on GPU and FPGA hardware: a simulation study

Xinwei Xue, Arvi Cheryauka, David Tubbs

Proceedings Volume 6142, 61424L (2006) https://doi.org/10.1117/12.653839

KEYWORDS: Field programmable gate arrays, Computed tomography, 3D image processing, CT reconstruction, Visualization, Reconstruction algorithms, Medicine, Imaging systems, Digital signal processing, Computing systems

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CT imaging in interventional and minimally-invasive surgery requires high-performance computing solutions that meet operational room demands, healthcare business requirements, and the constraints of a mobile C-arm system. The computational requirements of clinical procedures using CT-like data are increasing rapidly, mainly due to the need for rapid access to medical imagery during critical surgical procedures. The highly parallel nature of Radon transform and CT algorithms enables embedded computing solutions utilizing a parallel processing architecture to realize a significant gain of computational intensity with comparable hardware and program coding/testing expenses. In this paper, using a sample 2D and 3D CT problem, we explore the programming challenges and the potential benefits of embedded computing using commodity hardware components. The accuracy and performance results obtained on three computational platforms: a single CPU, a single GPU, and a solution based on FPGA technology have been analyzed. We have shown that hardware-accelerated CT image reconstruction can be achieved with similar levels of noise and clarity of feature when compared to program execution on a CPU, but gaining a performance increase at one or more orders of magnitude faster. 3D cone-beam or helical CT reconstruction and a variety of volumetric image processing applications will benefit from similar accelerations.

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