Paper
28 May 2019 Real-time GPU implementation of a weighted filtered back-projection algorithm for stationary gantry CT reconstruction
William Thompson, Edward Morton, Alexander Katsevich, Seongjin Yoon, Michael Frenkel
Author Affiliations +
Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110721W (2019) https://doi.org/10.1117/12.2534855
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States
Abstract
We present details of a real-time implementation of a new algorithm designed to reduce streak artifacts in switched-source stationary gantry CT reconstruction. The algorithm is of the filtered back-projection type, and uses a voxel-specific weighting function to account for the non-uniform distribution of illumination angles caused by such a scanning geometry. The main challenge in developing a real-time implementation is the storage and memory bandwidth requirements imposed by the weighting function. This has been addressed by storing weights at a low precision and reduced resolution, and using interpolation to recover weights at the full resolution. Results demonstrate real-time performance of the algorithm at a realistic problem size, running on a low-cost consumer grade laptop.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William Thompson, Edward Morton, Alexander Katsevich, Seongjin Yoon, and Michael Frenkel "Real-time GPU implementation of a weighted filtered back-projection algorithm for stationary gantry CT reconstruction", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110721W (28 May 2019); https://doi.org/10.1117/12.2534855
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Cited by 1 scholarly publication.
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KEYWORDS
Reconstruction algorithms

CT reconstruction

Data acquisition

Digital filtering

Image quality

Scanners

Detection and tracking algorithms

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