Image reconstruction from rebinned helical cone-beam projection data

Dan Xia; Lifeng Yu; Junguo Bian; Xiaochuan Pan

doi:10.1117/12.713720

19 March 2007 Image reconstruction from rebinned helical cone-beam projection data

Dan Xia, Lifeng Yu, Junguo Bian, Xiaochuan Pan

Proceedings Volume 6510, Medical Imaging 2007: Physics of Medical Imaging; 651057 (2007) https://doi.org/10.1117/12.713720
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

In this work, we introduced an algorithm for image reconstruction in helical cone-beam CT based upon the backprojection-filtration (BPF) algorithm. This algorithm is a backprojection-filtration-type algorithm that reconstructs images from rebinned data. It retains the properties of the original BPF algorithm in that it requires minimum data and can reconstruct ROI images from truncated data. More importantly, due to the elimination of the spatially-variant weighting factor in the backprojection, it may improve the noise properties in reconstructed images. We have performed computer-simulation studies to investigate the ROI-image reconstruction and noise properties of this algorithm, and the quantitative results verify and demonstrate the proposed algorithm.

Citation Download Citation

Dan Xia, Lifeng Yu, Junguo Bian, and Xiaochuan Pan "Image reconstruction from rebinned helical cone-beam projection data", Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 651057 (19 March 2007); https://doi.org/10.1117/12.713720

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