Estimation-reconstruction approach for image reconstruction in halfscan computed tomography

Xiaochuan Pan

doi:10.1117/12.384504

25 April 2000 Estimation-reconstruction approach for image reconstruction in halfscan computed tomography

Xiaochuan Pan

Proceedings Volume 3977, Medical Imaging 2000: Physics of Medical Imaging; (2000) https://doi.org/10.1117/12.384504
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

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.

Citation Download Citation

Xiaochuan Pan "Estimation-reconstruction approach for image reconstruction in halfscan computed tomography", Proc. SPIE 3977, Medical Imaging 2000: Physics of Medical Imaging, (25 April 2000); https://doi.org/10.1117/12.384504

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KEYWORDS

Reconstruction algorithms

Computed tomography

Image restoration

Algorithm development

Fluctuations and noise

Infrared imaging

Data acquisition

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