This study provides data for the development of oral contrast media for abdominal magnetic resonance imaging
(MRI) examinations for potential use in clinical practice. The signal intensities, signal-to-noise ratio (SNR),
and contrast-to-noise ratio (CNR) were quantified using various contrast media with longitudinal (T1) and
transverse relaxation (T2) pulse sequences. Prediction accuracy error comparisons were conducted according
to the mean-squared, mean-absolute, and root-mean-squared errors of the contrast media intensities using the
Orange data mining software. The signal strength and SNR were higher in canola oil and pineapple juice (T1-
weighted images), while the intensities of blueberry juice and apple juice were high in the T2-weighted images;
SNR was high in blueberry and cranberry juice, and CNR was high in Solotop® and blueberry syrup. The
accuracy of the deep-learning prediction errors of MR signal intensities was high. In conclusion, data from ex
vivo MRI research can be used for the development of oral contrast media.