Thomson, Emma L;
Powell, Elizabeth;
Wheeler-Kingshott, Claudia AM Gandini;
Parker, Geoff JM;
(2024)
Quantification of water exchange across the blood-brain barrier using noncontrast MR fingerprinting.
Magnetic Resonance in Medicine
, 92
(4)
pp. 1392-1402.
10.1002/mrm.30127.
Preview |
Text
Thomson.pdf - Published Version Download (3MB) | Preview |
Abstract
Purpose: A method is proposed to quantify cerebral blood volume ((Formula presented.)) and intravascular water residence time ((Formula presented.)) using MR fingerprinting (MRF), applied using a spoiled gradient echo sequence without the need for contrast agent. Methods: An in silico study optimized an acquisition protocol to maximize the sensitivity of the measurement to (Formula presented.) and (Formula presented.) changes. Its accuracy in the presence of variations in (Formula presented.), (Formula presented.), and (Formula presented.) was evaluated. The optimized protocol (scan time of 19 min) was then tested in a exploratory healthy volunteer study (10 volunteers, mean age 24 (Formula presented.) 3, six males) at 3 T with a repeat scan taken after repositioning to allow estimation of repeatability. Results: Simulations show that assuming literature values for (Formula presented.) and (Formula presented.), no variation in (Formula presented.), while fitting only (Formula presented.) and (Formula presented.), leads to large errors in quantification of (Formula presented.) and (Formula presented.), regardless of noise levels. However, simulations also show that matching (Formula presented.), (Formula presented.), (Formula presented.), (Formula presented.) and (Formula presented.), simultaneously is feasible at clinically achievable noise levels. Across the healthy volunteers, all parameter quantifications fell within the expected literature range. In addition, the maps show good agreement between hemispheres suggesting physiologically relevant information is being extracted. Expected differences between white and gray matter (Formula presented.) (p < 0.0001) and (Formula presented.) (p < 0.0001) are observed, (Formula presented.) and (Formula presented.) show no significant differences, p = 0.4 and p = 0.6, respectively. Moderate to excellent repeatability was seen between repeat scans: mean intra-class correlation coefficient of (Formula presented.), (Formula presented.), (Formula presented.), and (Formula presented.). Conclusion: We demonstrate that regional simultaneous quantification of (Formula presented.), (Formula presented.), (Formula presented.), and (Formula presented.) using MRF is feasible in vivo.
| Type: | Article |
|---|---|
| Title: | Quantification of water exchange across the blood-brain barrier using noncontrast MR fingerprinting |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/mrm.30127 |
| Publisher version: | http://dx.doi.org/10.1002/mrm.30127 |
| Language: | English |
| Additional information: | This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2024 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Radiology, Nuclear Medicine & Medical Imaging, blood brain barrier, MR fingerprinting, water exchange, RELAXATION-TIMES, ROBUST, T-1, OPTIMIZATION, REGISTRATION, ALGORITHM |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10195449 |
Archive Staff Only
 |
View Item |
