| Investigating tomographic reconstruction with a priori geometrical information. | |
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MedLine Citation:
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PMID: 22398583 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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A novel strategy to perform tomographic image reconstruction is presented, based on the integration of a priori information about the target image. Such information may come from a different imaging tool or a synthetic model. For a given image quality, providing a priori image information reduces the amount of image information to be reconstructed. According to the data processing inequality this requires less input data or physical measurements, therefore reducing exposure to ionising radiation. A prototype algorithm is described, consisting of a penalized ART where some a priori edge information is encoded in an inhomogeneous, anisotropic smoothing kernel. The algorithm is tested on a 2-dimensional set-up based on the Shepp-Logan phantom. |
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Authors:
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Mattia Fedrigo; Andreas Wenger; Christoph Hoeschen |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of X-ray science and technology Volume: 20 ISSN: 1095-9114 ISO Abbreviation: J Xray Sci Technol Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-03-08 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9000080 Medline TA: J Xray Sci Technol Country: Netherlands |
Other Details:
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Languages: eng Pagination: 1-10 Citation Subset: IM |
Affiliation:
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Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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