Improved quantitative parameter estimation for prostate T2 relaxometry using convolutional neural networks

Quantitative parameter mapping conventionally relies on curve fitting techniques to estimate parameters from magnetic resonance image series. This study compares conventional curve fitting techniques to methods using neural networks (NN) for measuring T