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Moisture gradient vector calculation as a new method for evaluating NMR images of corn (Zea Mays L.) kernels during drying
Magnetic resonance imaging (MRI) was used to study the moisture migration inside single corn kernel during artificial drying. MRI data were taken every half an hour during drying while the intact kernel was kept inside the magnet. The moisture distribution was not uniform inside the kernel during dr...
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Published in: | Magnetic resonance imaging 1999-09, Vol.17 (7), p.1077-1082 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Magnetic resonance imaging (MRI) was used to study the moisture migration inside single corn kernel during artificial drying. MRI data were taken every half an hour during drying while the intact kernel was kept inside the magnet. The moisture distribution was not uniform inside the kernel during drying, with the fastest moisture loss being detected in the endosperm, whilst the scutellum maintained the water. Resultant gradient vectors were visualized, as a new evaluation method, from each pixel of the subtraction of segmented MRI images showing the movement of proton density inside the kernel. The data matrix containing the gradient vectors can be stored for latter use as input parameters and to check the mass transfer models. |
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ISSN: | 0730-725X 1873-5894 |
DOI: | 10.1016/S0730-725X(99)00037-5 |