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- W2055023808 abstract "The fan-beam filtered backprojection (FFBP) algorithm has been widely used for image reconstruction in fan-beam computed tomography (CT). We have also developed fullscan-hybrid algorithms for image reconstruction in fan-beam CT. Numerical evaluation indicates that such fullscan-hybrid algorithms possess computational and noise properties superior to those of the FFBP algorithm. However, because these fullscan-hybrid algorithms involve the calculation of the Fourier series expansion of the fan-beam data, they require fullscan data acquired over an angular range of 2(pi) . Therefore, these fullscan-hybrid algorithms cannot be applied directly to a halfscan fan-beam data that are acquired only over an angular range of (pi) plus the fan angle. In this work, we present new reconstruction algorithms -- the halfscan-hybrid algorithms -- for image reconstruction in halfscan CT. These halfscan-hybrid algorithms have properties that are similar to those of the full-scan hybrid algorithms and that are superior to those of the widely used halfscan-FFBP algorithm. Such properties of the halfscan-hybrid algorithms may have significant implications to the accuracy and precision of lesion detection and parameter estimation in noisy CT images without increasing the radiation dose to the patient." @default.
- W2055023808 created "2016-06-24" @default.
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- W2055023808 date "2000-04-25" @default.
- W2055023808 modified "2023-09-23" @default.
- W2055023808 title "Estimation-reconstruction approach for image reconstruction in halfscan computed tomography" @default.
- W2055023808 doi "https://doi.org/10.1117/12.384504" @default.
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