Abstract
A generalization of the quasi-exact algorithms of Kudo et al (2000 IEEE Trans. Med. Imaging 19 902-21) is developed that allows for data acquisition in a 'practical' frame for clinical diagnostic helical, cone-beam computed tomography (CT). The algorithm is investigated using data that model nonlinear partial volume averaging. This investigation leads to an understanding of aliasing artefacts in helical, cone-beam CT image reconstruction. An ad hoc scheme is proposed to mitigate artefacts due to the nonlinear partial volume and aliasing artefacts.
Publication types
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Comparative Study
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Evaluation Study
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Research Support, U.S. Gov't, P.H.S.
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Validation Study
MeSH terms
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Algorithms*
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Artifacts*
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Fourier Analysis
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Head / diagnostic imaging
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Humans
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Imaging, Three-Dimensional / methods*
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Information Storage and Retrieval / methods
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Numerical Analysis, Computer-Assisted
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Phantoms, Imaging
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Radiographic Image Enhancement / methods*
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Radiographic Image Interpretation, Computer-Assisted / methods*
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Reproducibility of Results
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Sample Size
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Sensitivity and Specificity
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Signal Processing, Computer-Assisted
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Tomography, Spiral Computed / instrumentation
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Tomography, Spiral Computed / methods*