Quantitative T1 and Effective Proton Density (PD*) mapping in children and adults at 7T from an MP2RAGE sequence optimised for uniform T1-weighted (UNI) and FLuid And White matter Suppression (FLAWS) contrasts
Quantitative T<sub>1</sub> and PD mapping is important for non-invasive tissue characterisation. Here, we aimed to calculate effective proton density (PD*) and quantitative T<sub>1</sub> relaxation maps at 7T using the MP2RAGE sequence and an analytical formula. This was applied to a short repetition time (TR<sub>MP2RAGE</sub>) protocol developed to produce both Fluid And White Matter Suppression (FLAWS) and T<sub>1</sub>-weighted uniform image (UNI) images. T<sub>1</sub> and PD* were estimated from analytical MP2RAGE signal equations for partial Fourier acquisitions. The sensitivity with respect to the TR<sub>MP2RAGE</sub> and B<sub>1</sub> <sup>+</sup> effects on both excitation flip angles and inversion efficiency was evaluated. T<sub>1</sub> and PD* alteration with age (10-54 years) were evaluated at the shortest TR<sub>MP2RAGE</sub> (4000 ms) in white matter (WM), cortical and deep grey matter regions. The T<sub>1</sub> values were insensitive to the choice of different TR<sub>MP2RAGE</sub>. T<sub>1</sub> values varied over development into adulthood, especially for the deep grey matter regions whereas only a very small difference was observed for WM T<sub>1</sub>. Effective PD maps were produced which did not show a significant difference between children and adults for the age range included. PD* maps and high precision T<sub>1</sub> maps were produced at 7T with 0.65 mm resolution in 7:18 min:s from an MP2RAGE protocol, previously optimised for UNI and FLAWS-related contrasts by incorporating the excitation flip angle and inversion efficiency B<sub>1</sub> <sup>+</sup> effects into the fit. Average WM T<sub>1</sub> values of adults and children were very similar (1092 vs. 1117 ms) while expected reductions in T<sub>1</sub> with age were found in deep GM.
Authors
- Sharon Giles (ORCID: https://orcid.org/0000-0002-8528-3745)
- Shaihan Malik (ORCID: https://orcid.org/0000-0001-8925-9032)
- Katy Vecchiato (ORCID: https://orcid.org/0000-0002-7493-5891)
- Tom Wilkinson (ORCID: https://orcid.org/0000-0002-7915-2888)
- Chiara Casella (ORCID: https://orcid.org/0000-0002-0292-3330)
- Jan Sedlacik (ORCID: https://orcid.org/0000-0003-3125-1083)
- Jonathan O’Muircheartaigh (ORCID: https://orcid.org/0000-0002-8033-6959)
- Ayşe Sıla Dokumacı (ORCID: https://orcid.org/0000-0001-9035-5689)
- Michael Eyre (ORCID: https://orcid.org/0000-0002-6704-5727)
- Philippa Bridgen (ORCID: https://orcid.org/0009-0008-8051-8139)
- Tobias Wood (ORCID: https://orcid.org/0000-0001-7640-5520)
- Joseph V. Hajnal (ORCID: https://orcid.org/0000-0002-2690-5495)
- David W. Carmichael (ORCID: https://orcid.org/0000-0001-9972-0718)
- Raphaël Tomi‐Tricot (ORCID: https://orcid.org/0000-0002-6149-9154)
- Pierluigi Di Ciò (ORCID: https://orcid.org/0000-0002-0457-9449)
Institutions
- King's College London (GB)
- Guy's and St Thomas' NHS Foundation Trust (GB)
- Hammersmith Hospital (GB)
- Siemens (United Kingdom) (GB)
- Evelina London Children's Healthcare (GB)
- Imperial College London (GB)
- Medical Research Council (GB)
Publication Details
- Journal
- Imaging Neuroscience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1162/imag.a.966
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wellcome Trust
- Action Medical Research
- National Institute for Health and Care Research
- Department of Health and Social Care
- King's College London
- King's Health Partners
- Medical Research Council
- Engineering and Physical Sciences Research Council
- Centre For Medical Engineering, King’s College London