A compact solution for estimation of physiological parameters from ultrafast prostate dynamic contrast enhanced MRI

Dianning He1,2, Xiaobing Fan2, Aritrick Chatterjee2

  • 1College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, People's Republic of China.

Summary

This study introduces a faster method for analyzing dynamic contrast-enhanced MRI (DCE-MRI) data, improving accuracy for prostate cancer imaging by bypassing complex pharmacokinetic modeling. The new approach offers a more efficient workflow for estimating key physiological parameters.

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