2014, Number 1
Preliminary results on the development of a mathematical model to predict the water content of cartilage by magnetic resonance
Shiguetomi MJM, Ramírez García-Luna JL, Gottliebsen M, Kristiansen MS, Ringgaard S, Stødkilde-Jørgensenh H, Rahbek O, Møller-Madsen B
Language: Spanish
References: 5
Page: 26-28
PDF size: 133.96 Kb.
ABSTRACT
Introduction: Cartilage is a tissue composed by approximately 80% water. Through magnetic resonance strings it is possible to correlate the tissue’s signal intensity with water content; therefore, the objective of this study was to develop a mathematical model to estimate water content in percentage in a cartilage sample. Material and methods: Through absolute T1 value mapping and inverse recovery sequence magnetic resonance strings 45 agar blocks with progressive and known water concentrations (70-100%) were analyzed. Data obtained was modelled in a lineal regression to obtain a water content prediction equation. Results: The equation water content ~ T1 signal intensity correlates with a r2 = 0.9715 (p ‹ 0.001) with the real water content in the agar blocks. Discussion: T1 magnetic resonance strings provide enough information on the quantity of water present in a tissue with a predictive value near 98%REFERENCES