作者: Pamela Rose Jackson
DOI:
关键词: Non-negative least squares 、 Diffusion (business) 、 Effective diffusion coefficient 、 Chemistry 、 Extracellular 、 Nuclear magnetic resonance 、 Intracellular 、 Magnetic resonance imaging 、 Least squares 、 Glioma
摘要: Using monoexponential models, magnetic resonance (MR) parameters transverse relaxation time (T2) and apparent diffusion coefficient (ADC) have been used to nonninvasively assess cell density, which characteristically increases with brain tumor malignancy. Multiexponential models of T2 ADC may allow for a more accurate evaluation density than the traditionally model. To better understand how affects multicomponent ADC, range densities were created by suspending astrocytoma cells in agarose at different densities. was measured using CarrnPurcellnMeiboomnGill (CPMG) sequence 64 echo times. diffusionnweighted 32 bnvalues. Three fit data determine values, associated fractions: monoexponential, biexponential, nonnnegative least squares (NNLS). Spearman Rank test correlation density. Both significantly negatively correlated The biexponential model identified two components, short long. componentsr values fractions slow fast. but not fractions. NNLS up three components. For T2s, components labeled short, medium, medium ADCs, slow, intermediate, Only fast fraction density.The obtained from samples packed further evaluated washing gadolinium contrast agent (GdnDTPA) shorten extracellular space. GdnDTPA did affect T2, considered be intracellular component no longer Overall, results suggest that separately measurable exist could utilized compartment specific information.