Repeatability and reproducibility of rapid T1 mapping of brain tissues at 64 mT: A multicentre study
Very-low-field MRI (<100 mT) holds promise for Point-of-Care brain imaging applications, including stroke and multiple sclerosis, with T<sub>1</sub> mapping emerging as a key biomarker for brain development and pathology. However, current low-field T<sub>1</sub> mapping protocols suffer from long acquisition times and limited multi-site repeatability. This study aimed to improve T<sub>1</sub> mapping at 64 mT using a clinically feasible 10-minute protocol and assess repeatability and reproducibility across sites. We present an analysis of the repeatability and reproducibility of rapid T<sub>1</sub> measurements in a commercially available phantom and in 60 volunteers, scanned with a portable 64 mT MRI systems at six sites. T<sub>1</sub> mapping was performed using an undersampled 3D inversion-recovery turbo spin-echo sequence with a 10.8-minute scan time, and reconstructed with a locally low-rank approach. Our results in phantom demonstrated high reproducibility in T<sub>1</sub> measurements (below 3% differences from the average), with non-significant differences between sites. Longitudinal measurements demonstrated high repeatability over time both in vivo and in phantom settings in one site, with minimal variability (average Coefficient of Variation of 0.6%). Average in vivo T<sub>1</sub> values for white matter and cortex were 290 ± 6 ms and 332 ± 8 ms, respectively and the values demonstrated high reproducibility, with differences of less than 4% from the average across sites. Our results demonstrate the feasibility of multi-site in vivo T<sub>1</sub> mapping at 64 mT, providing normative T<sub>1</sub> values at this field strength and supporting its use as a quantitative biomarker in clinical applications.
Authors
- Beatrice Lena (ORCID: https://orcid.org/0000-0001-9283-5918)
- Niall Bourke (ORCID: https://orcid.org/0000-0001-6478-1430)
- Rui Pedro A. G. Teixeira (ORCID: https://orcid.org/0000-0001-6508-9315)
- Todor Karaulanov (ORCID: https://orcid.org/0000-0001-9833-9915)
- Derek Kenton Jones (ORCID: https://orcid.org/0000-0003-4409-8049)
- Shannon Kolind (ORCID: https://orcid.org/0000-0003-1362-1968)
- Mara Cercignani (ORCID: https://orcid.org/0000-0002-4550-2456)
- Irene M. Vavasour (ORCID: https://orcid.org/0000-0001-9286-0953)
- Yiming Dong (ORCID: https://orcid.org/0000-0002-8580-4555)
- Carly Bennallick
- Samson Lecurieux Lafayette
- Steven Williams (ORCID: https://orcid.org/0000-0003-4299-1941)
- James Gholam (ORCID: https://orcid.org/0009-0003-3487-2720)
- Francesco Padormo (ORCID: https://orcid.org/0000-0001-5699-2692)
- Emil Ljungberg (ORCID: https://orcid.org/0000-0003-1456-7967)
- Pia C. Sundgren (ORCID: https://orcid.org/0000-0001-9237-1236)
- Andrew Webb (ORCID: https://orcid.org/0000-0003-4045-9732)
- Joseph V. Hajnal (ORCID: https://orcid.org/0000-0002-2690-5495)
- Sean Deoni (ORCID: https://orcid.org/0000-0002-0633-6328)
- W. den Hollander
- Ruben van den Broek (ORCID: https://orcid.org/0009-0006-4412-9510)
Institutions
- Gates Foundation (US)
- University of British Columbia (CA)
- King's College London (GB)
- Lund University (SE)
- Leiden University Medical Center (NL)
- Caliber Imaging and Diagnostics (United States) (US)
- Guilford College (US)
- Cardiff University (GB)
Publication Details
- Journal
- Imaging Neuroscience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1162/imag.a.916
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00