Skip to main content
. Author manuscript; available in PMC: 2024 May 1.
Published in final edited form as: Magn Reson Med. 2022 Dec 31;89(5):1901–1914. doi: 10.1002/mrm.29574

FIGURE 6.

FIGURE 6

Statistical analysis and quantitative assessment of the generative adversarial network (GAN)-saturation transfer (ST) performance in the in vivo brains of a tumor patient (A–D) and a healthy volunteer (E–H). (A,B) Correlation between all GAN-ST-based proton semi-solid magnetization transfer (MT) proton volume fractions (A) and exchange rates (B) for the entire brain in the WM/GM, and the corresponding pixel values obtained using chemical exchange saturation transfer (CEST)-magnetic resonance fingerprinting (MRF). Notably, the GAN-based fss values in the WM are in better agreement with MRF refernce than the GM (Pearson’s r = 90 compared to 0.74, respectively, p < 0.001), due to the myelin-rich content of the WM. (E,F) A similar analysis for the healthy human volunteer scanned at a site and scanner that were not available during training. (C,D,G,H) Structural similarity index metric and normalized root mean squared error for the tumor patient (C,D) and healthy volunteer (G,H).