This work addresses the characterization of the degree of mixing to improve quality and efficiency. The objective was to establish a new method to evaluate the extent of mixing using a binary component batch system. Batch mixing was studied in a two-component system of Newtonian oil with a viscosity of 3.5 Pa s and suspended particles with a mean diameter of 200 mum. The experiments were performed with three particle loadings: 10%, 20%, and 30% by weight. Mixing was monitored as a function of number of revolutions using magnetic resonance imaging (MRI). Images were acquired from initially segregated material to fully uniform material. They were analyzed statistically in terms of center and spread characteristics, coefficient of variation, length scale, and mixing intensity. As mixing proceeded, the signal intensity distributions changed dramatically at approximately 500 revolutions for all three particle concentrations. The length scales decreased as mixing proceeded by factors of approximately 1.5, 3.6, and 6.3 for 10%, 20%, and 30%, respectively. Mixing intensities decreased from 1 to less than 0.05. Mixing intensity (I) versus log(no. of revolutions) showed a linear relationship with coefficient of determination values (R-2) greater than 0.93 and slope values in a relatively narrow range.