To evaluate the inverse Laplace model fitting to multiple TE TSE data for prostate cancer diagnosis. Prostate tissue has glandular structure with luminal volume and epithelial cells forming the walls of gland. The underlying physical phenomenon in prostate cancer can be accurately captured using two-compartment T2 decay modeling. It is impossible to acquire MR images to perform accurate multi-compartment T2 decay model in clinically feasible scan times since multiple T2W MRI images over a wide range of echo times are required. Recently a fast multi-echo TSE (ME-TSE) T2 mapping technique, k-t-T2 MRI was developed to obtain high resolution T2 maps in clinically feasible scan time. In this study, a new implementation of the inverse Laplace transform was applied to the multi-echo TSE T2WI data. We present evidence that multiple slow components can be present in the decaying T2WI signal in the normal tissue in the prostate but were absent in pathology confirmed cancers on k-t-T2 data.