Canadian Forest Service Publications

Using computed tomography scanning technology to extract virtual wood cores, derive wood density radial patterns, and test hypotheses about direction, core size, and year of growth. 2016. Beaulieu, J.; Han, L.; Dutilleul, P. Wood Fiber Sci. 48: 171-182.

Year: 2016

Available from: Laurentian Forestry Centre

Catalog ID: 37186

Language: English

CFS Availability: PDF (request by e-mail)

Abstract

Computed tomography (CT) scanning technology was used to collect millions of three-dimensional data called CT numbers on eight white spruce (Picea glauca [Moench] Voss) wood disks classified as small or medium on the basis of the relevant field of view. The collected data were then converted to wood density estimates using a calibration equation. Virtual wood cores of three sizes (diameters of 1 voxel, which is the smallest volumetric unit on which a CT number is computed, 5 mm, and 12 mm) were extracted in four orthogonal directions from pith to bark. This made the assessment of the effects of direction and core size on the wood density estimates possible. The averaged values and radial patterns of wood density as estimated from CT scanning data were found to be typical of the values and patterns reported for the white spruce tree species in the literature, especially in relation to the year of growth because the experimental trees varied in age. In conclusion, the application of CT scanning technology in wood science allows the digital extraction of three-dimensional data subsets to perform wood density estimation, radial pattern analysis, and hypothesis testing, and the results are valuable complements to those obtained with other technologies such as X-ray densitometry.

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