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Quantitative MRI analysis of structural changes in tomato tissues resulting from dehydration
Rodolphe Leforestier1, Anna Fleury1, François Mariette1
1INRAE Bretagne Normandie, UR OPAALE IRMfood, Rennes, France.
Quantitative magnetic resonance imaging reveals how dehydration affects tomato tissue microstructure. Multi-exponential T2 maps show water loss impacts large cells, with solute concentration and compartment size influencing relaxation times.
Area of Science:
- Biophysics
- Plant Science
- Biomolecular Imaging
Background:
- Dehydration significantly impacts plant tissue microstructure and water content.
- Understanding water dynamics in plant tissues is crucial for agriculture and food science.
- Magnetic Resonance Imaging (MRI) offers non-invasive methods to study tissue properties.
Purpose of the Study:
- To quantitatively analyze the effects of dehydration on tomato tissue using MRI.
- To investigate changes in transverse relaxation parameters (T2) and their relationship with microstructure.
- To explore the influence of cell compartmentation, tissue heterogeneity, and composition on relaxation.
Main Methods:
- Quantitative magnetic resonance imaging (MRI) at 1.5T.
- Estimation of multi-exponential T2 maps for spatial microstructural information at voxel scale.
- Analysis of transverse relaxation parameters under varying dehydration regimes in tomato tissue.
Main Results:
- Multi-exponential T2 mapping provided spatial microstructural information.
- Water loss primarily affected large cells, while total signal intensity remained insensitive to minor water content changes.
- Variations in relaxation times were attributed to solute concentration, compartment size, and magnetic susceptibility effects from air in placental tissue.
Conclusions:
- Multi-exponential relaxation signals reflect cell compartmentation and tissue heterogeneity.
- Dehydration impacts specific cell compartments, particularly larger ones.
- Magnetic susceptibility effects in porous tissues can significantly influence observed relaxation times.
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