NMR techniques are developed to study the properties of fluids confined in restricted geometries and of the confining porous matrices. Results are obtained on cartilage/bone tissue, cells, corals, food, composite materials like cements, soils, sedimentary rocks. 1-2 Dimensional NMR techniques are applied for diagnostic of stone consolidant and protective compounds, and for profiling of easel paintings on canvas.
Advanced algorithms are developed and tested to apply the Inverse Laplace Transform to multi-dimensional data. Moreover, novel Magnetic Resonance Fingerprinting techniques are designed and realized by developing a robust and handy framework through computer simulations and NMR Lab tests.
Deep Learning methods are developed for quantitative image analyses and low-field Fingerprinting.
