Medical images have been studied using eye tracker systems from visual search and perception perspectives since 1960’s. However number of studies for the multi slice imaging is very limited due to the technical challenges. We developed a software to overcome the difficulties, and enable visual search/perception studies using multi-parametric MRI of prostate cancer. Multiparametric MR images (T2w, DWI, ADC map, and DCE) were synchronized with the eye tracker system and visual-attention maps were successfully created for each image types using gaze information. This is the first multiparametric MR study using an eye tracker system.