Jana Hutter1, Raphael Tomi-Tricot2, Jan Sedlacik1, Philippa Bridgen1, Shaihan Malik1, and Joseph V Hajnal1
1Centre for Medical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom
1Centre for Medical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom
High field provides rich opportunities for high-resolution high-signal data - of specific importance for diffusion and relaxometry for evermore detailed insights into microstructure, Here, a flexible multi-dimensional diffusion-relaxometry sequence is implemented at high field.
Figure 2: Illustration of a mid-brain slice of the presented acquisition in a healthy volunteer over all acquired contrasts. Thereby, the data is ordered by echo time with the first 48 images corresponding to the first TE=73ms. The data is shown before any preprocessing is performed.
Figure 1: Illustration of the sequence. (A) Multiple Echos, (B) Global inversion and slice shuffling strategy and the logarithmic acquisition and (D) the variation of diffusion properties per slice rather then per volume. (D) is adapted from Hutter et al, Chapter 9 in Topgaard 2020
