3D autocorrelation for the determination of large pore sizes
| Autor: | M. Peyron, Alun J. Lucas, D.W. Phelps, Laurance D. Hall, Gregory K. Pierens, Robert Charles. Stewart, J.A. Derbyshire, N. Dillon |
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| Rok vydání: | 1994 |
| Předmět: |
Magnetic Resonance Spectroscopy
Autocorrelation Biomedical Engineering Biophysics Analytical chemistry Image processing Nuclear magnetic resonance spectroscopy computer.software_genre Magnetic Resonance Imaging Image (mathematics) Magnetic field Dimension (vector space) Voxel Image Processing Computer-Assisted Radiology Nuclear Medicine and imaging Porous medium Biological system computer Porosity Mathematics |
| Zdroj: | Magnetic resonance imaging. 12(2) |
| ISSN: | 0730-725X |
| Popis: | A data analysis methodology is used to process 3D NMR image data acquired for porous systems. The method extracts the mean size of those repeating elements in the image data which are largely compared with the image voxel dimensions. In this work we extend the two-dimensional (2D) image analysis method described by others to three spatial dimensions (3D). 3D image data were acquired at a magnetic field strength of 7 T using NMR microscopy hardware. The 3D autocorrelation function obtained from the data reveals a characteristic pore size in each dimension. |
| Databáze: | OpenAIRE |
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