Bloch modelling enables robust T2 mapping using retrospective proton density and T2-weighted images from different vendors and sites

• Main Authors: Gitanjali Chhetri, Kelly C. McPhee, Alan H. Wilman
• Format: Article
• Language: English
• Published: Elsevier 2021-08-01
• Series: NeuroImage
• Subjects: T2-weighting; Proton density; Stimulated echoes; Fast spin echo; T2 quantification
• Online Access: http://www.sciencedirect.com/science/article/pii/S1053811921003931

T2 quantification is commonly attempted by applying an exponential fit to proton density (PD) and transverse relaxation (T2)-weighted fast spin echo (FSE) images. However, inter-site studies have noted systematic differences between vendors in T2 maps computed via standard exponential fitting due to imperfect slice refocusing, different refocusing angles and transmit field (B1+) inhomogeneity. We examine T2 mapping at 3T across 13 sites and two vendors in healthy volunteers from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database using both a standard exponential and a Bloch modelling approach. The standard exponential approach resulted in highly variable T2 values across different sites and vendors. The two-echo fitting method based on Bloch equation modelling of the pulse sequence with prior knowledge of the nominal refocusing angles, slice profiles, and estimated B1+ maps yielded similar T2 values across sites and vendors by accounting for the effects of indirect and stimulated echoes. By modelling the actual refocusing angles used, T2 quantification from PD and T2-weighted images can be applied in studies across multiple sites and vendors.