Jing Cheng1, Yuanyuan Liu1, Xin Liu1, Hairong Zheng1, Yanjie Zhu1, and Dong Liang1
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
In this
work, we proposed to incorporate the quantitative
physical model into the deep learning framework to simultaneously reconstruct
the parameter-weighted images and generate the parametric map without the
reference parametric maps.
Figure
4. The estimated parametric maps for selected cartilage ROIs overlaid
on the reconstructed T1ρ-weighted
images at TSL = 5 ms for R = 9.2 from Data 2. The mean values and the standard deviations
of the ROI maps are also provided.
Figure
1. Overview
of the proposed framework.
