Comparison of Quadratic– and Median-Based Roughness Penalties for Penalized-Likelihood Sinogram Restoration in Computed Tomography

<p>We have compared the performance of two different penalty choices for a penalized-likelihood sinogram-restoration strategy we have been developing. One is a quadratic penalty we have employed previously and the other is a new median-based penalty. We compared the approaches to a noniterativ...

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Format: Article
Language:English
Published: Wiley 2006-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://www.hindawi.com/GetArticle.aspx?doi=10.1155/IJBI/2006/41380
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description <p>We have compared the performance of two different penalty choices for a penalized-likelihood sinogram-restoration strategy we have been developing. One is a quadratic penalty we have employed previously and the other is a new median-based penalty. We compared the approaches to a noniterative adaptive filter that loosely but not explicitly models data statistics. We found that the two approaches produced similar resolution-variance tradeoffs to each other and that they outperformed the adaptive filter in the low-dose regime, which suggests that the particular choice of penalty in our approach may be less important than the fact that we are explicitly modeling data statistics at all. Since the quadratic penalty allows for derivation of an algorithm that is guaranteed to monotonically increase the penalized-likelihood objective function, we find it to be preferable to the median-based penalty.</p>
format Article
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institution Kabale University
issn 1687-4188
language English
publishDate 2006-01-01
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series International Journal of Biomedical Imaging
spelling doaj-art-d4360e0689374b6bbe9c2a1c17ca89792025-02-03T06:11:12ZengWileyInternational Journal of Biomedical Imaging1687-41882006-01-012006Comparison of Quadratic&#8211; and Median-Based Roughness Penalties for Penalized-Likelihood Sinogram Restoration in Computed Tomography<p>We have compared the performance of two different penalty choices for a penalized-likelihood sinogram-restoration strategy we have been developing. One is a quadratic penalty we have employed previously and the other is a new median-based penalty. We compared the approaches to a noniterative adaptive filter that loosely but not explicitly models data statistics. We found that the two approaches produced similar resolution-variance tradeoffs to each other and that they outperformed the adaptive filter in the low-dose regime, which suggests that the particular choice of penalty in our approach may be less important than the fact that we are explicitly modeling data statistics at all. Since the quadratic penalty allows for derivation of an algorithm that is guaranteed to monotonically increase the penalized-likelihood objective function, we find it to be preferable to the median-based penalty.</p>http://www.hindawi.com/GetArticle.aspx?doi=10.1155/IJBI/2006/41380
spellingShingle Comparison of Quadratic&#8211; and Median-Based Roughness Penalties for Penalized-Likelihood Sinogram Restoration in Computed Tomography
International Journal of Biomedical Imaging
title Comparison of Quadratic&#8211; and Median-Based Roughness Penalties for Penalized-Likelihood Sinogram Restoration in Computed Tomography
title_full Comparison of Quadratic&#8211; and Median-Based Roughness Penalties for Penalized-Likelihood Sinogram Restoration in Computed Tomography
title_fullStr Comparison of Quadratic&#8211; and Median-Based Roughness Penalties for Penalized-Likelihood Sinogram Restoration in Computed Tomography
title_full_unstemmed Comparison of Quadratic&#8211; and Median-Based Roughness Penalties for Penalized-Likelihood Sinogram Restoration in Computed Tomography
title_short Comparison of Quadratic&#8211; and Median-Based Roughness Penalties for Penalized-Likelihood Sinogram Restoration in Computed Tomography
title_sort comparison of quadratic 8211 and median based roughness penalties for penalized likelihood sinogram restoration in computed tomography
url http://www.hindawi.com/GetArticle.aspx?doi=10.1155/IJBI/2006/41380