Computerized tomography as a non-destructive scanning method to analyze wood structures has become an important technique in tree research. The possibility to reconstruct three-dimensional volumes based on a number of slices of two-dimensional data from CT scans is strongly dependent on the number of measured slices. Radial basis function methods can be successfully used to interpolate CT images with the aim of obtaining a satisfactory reconstruction of tree trunks. In contrast to standard interpolation techniques, our method takes into account that wood structures differ more in the radial than in the longitudinal direction. Therefore we obtain better interpolation results for wood structures.
Volume interpolation of CT images from tree trunks. Publishing Authors By Initials
Volume interpolation of CT images from tree trunks. Journal Published:
PUBLICATION TYPE: Research Support, Non-U.S. Gov
Journal: Plant biology (Stuttgart, Germany)
VOLUME: 7
Page Numbers: 737-44
Journal Abbreviation: Plant Biol (Stuttg)
ISSN: 1435-8603
DAY: 7
MONTH: Nov
YEAR: 2005
Volume interpolation of CT images from tree trunks. Information
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LANGUAGE: eng
NlmUniqueID: 101148926
Volume interpolation of CT images from tree trunks. Keywords Mesh Terms:
KEYWORDS: Trees
MESH TERMS: anatomy & histology
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Grant and Affiliation Information for Volume interpolation of CT images from tree trunks.
AFFILIATION: Institute of Biomathematics and Biometry, GSF - National Research Center for Environment and Health, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany. castell@gsf.de
Country: Germany
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MEDLINETA: Plant Biol (Stuttg)
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