Volume Interpolation of CT Images from Tree Trunks

Abstract 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...

Full description

Saved in:
Bibliographic Details
Published in:Plant biology (Stuttgart, Germany) Germany), 2005-11, Vol.7 (6), p.737-744
Main Authors: zu Castell, W., Schrödl, S., Seifert, T.
Format: Article
Language:English
Subjects:
analysis of wood structures
computerized tomography
kriging methods
minimal-norm interpolation
Models, Anatomic
Plant Stems - anatomy & histology
Radial basis function interpolation
Research Paper
three-dimensional reconstruction
Tomography, X-Ray Computed - methods
Trees - anatomy & histology
wood density
year ring analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract 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.
ISSN:1435-8603
1438-8677
DOI:10.1055/s-2005-872817