Keywords: White Matter, White Matter, UTE imaging, Myelin
Motivation: Many neurological disorders are characterized by myelin damage and loss. Robust long T2 suppression is of critical importance for accurate myelin quantification due to myelin's low proton densities.
Goal(s): To develop a new UTE imaging approach that enables sufficient long T2 suppression for selective myelin imaging.
Approach: A 3D DIR-UTE sequence was developed for selective myelin imaging on a 3T clinical scanner. The technical feasibility was tested by phantom and in vivo studies.
Results: The long T2 signals were sufficiently suppressed with the DIR scheme. The myelin proton fraction in white matter regions quantified by the DIR-UTE was 5.42±0.35%.
Impact: The long T2 signals were sufficiently suppressed with the DIR scheme. The myelin proton fraction in white matter regions quantified by the DIR-UTE was 5.42±0.35%.
1. Filley CM, Fields RD. White matter and cognition: making the connection. J Neurophysiol 2016; 116:2093-2104.
2. Waxman SG. Conduction in myelinated, unmyelinated, and demyelinated fibers. Archives of Neurology 1977; 34:585-589.
3. Felts PA, Baker TA, Smith KJ. Conduction in segmentally demyelinated mammalian central axons. Journal of Neuroscience 1997; 17:7267-7277
4. Steinman MDL. Multiple sclerosis: a coordinated immunological attack against
myelin in the central nervous system. Cell. (1996) 85(3):299–302. doi: 10.1016/
S0092-8674(00)81107-1
5. Filippi M, Rocca MA. MR imaging of multiple sclerosis. Radiology 2011;259(3):659–681.
6. Killiany RJ, Gomez-Isla T, Moss M, et al. Use of structural magnetic resonance imaging to predict who will get Alzheimer’s disease. Ann Neurol 2000; 47:430-439.
7. Frisoni GB, Fox NC, Jack CR, Scheltens P, Thompson PM. The clinical use of structural MRI in Alzheimer disease. Nat Rev Neurol 2010; 6:67-77.
8. Du J, Ma G, Li S, Carl M, Szeverenyi NM, VandenBerg S, Corey-Bloom J, Bydder GM. Ultrashort echo time (UTE) magnetic resonance imaging of the short T2 components in white matter of the brain using a clinical 3T scanner. Neuroimage. 2014 Feb 15;87:32-41.
9. Jang H, Ma Y, Searleman AC, Carl M, Corey-Bloom J, Chang EY, Du J. Inversion recovery UTE based volumetric myelin imaging in human brain using interleaved hybrid encoding. Magn Reson Med 2020;83:950-61.
10. Ma YJ, Searleman A, Jang H, Wong J, Chang EY, Corey-Bloom J, Bydder GM, Du J. Whole-brain myelin mapping using 3D double echo sliding inversion recovery ultrashort echo time (DESIRE UTE) MRI. Radiology 2020;294:362-74.
11. Ma YJ, Jang H, Wei Z, Cai Z, Xue Y, Lee RR, et al. Myelin Imaging in Human Brain Using a Short Repetition Time Adiabatic Inversion Recovery Prepared Ultrashort Echo Time (STAIR-UTE) MRI Sequence in Multiple Sclerosis. Radiology. 2020;297(2):392-404.
12. Ma YJ, Jang H, Wei Z, Wu M, Chang EY, Corey-Bloom J, et al. Brain ultrashort T2 component imaging using a short TR adiabatic inversion recovery prepared dual-echo ultrashort TE sequence with complex echo subtraction (STAIR-dUTE-ES). J Magn Reson. 2021;323:106898.
13. Ma YJ, Zhu Y, Lu X, Carl M, Chang EY, Du J. Short T2 imaging using a 3D double adiabatic inversion recovery prepared ultrashort echo time cones (3D DIR‐UTE‐Cones) sequence. Magnetic resonance in medicine. 2018 May;79(5):2555-63.
14. Gurney PT, Hargreaves BA, Nishimura DG. Design and analysis of a practical 3D cones trajectory. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine. 2006 Mar;55(3):575-82.
15. Ma YJ, Zhao W, Wan L, Guo T, Searleman A, Jang H, Chang EY, Du J. Whole knee joint T1 values measured in vivo at 3T by combined 3D ultrashort echo time cones actual flip angle and variable flip angle methods. Magnetic resonance in medicine. 2019 Mar;81(3):1634-44.
Figure 1. Sequence diagram of the 3D DIR-UTE sequence. The DIR scheme employs two identical AFP pulses to invert long T2 magnetization followed by multispoke UTE acquisition (A). TI1 is defined by the time between the centers of the two AFP pulses while TI2 is defined as the period from the center of the second AFP pulse to the center of the multispoke acquisition. A half-soft pulse is used for signal excitation in each spoke (B). The k-space trajectory is arranged in a conical view ordering (C).
Figure 2. DIR-UTE imaging of water phantoms. Nine phantoms were made with different MnCl2·4H2O concentrations of 0.0055, 0.01, 0.015, 0.0195, 0.0265, 0.0375, 0.085, 0.18, and 1.4828 g/L. The measured phantom T1 values are presented in panel A. Panel B shows the DIR-UTE images with different TR/TI1/TI2 combinations. Panels C and D show the phantom signal intensity curves without and with normalization, respectively. a.u. = arbitrary units.
Figure 3. DIR-UTE imaging of in vivo brain with different TEs (i.e., TE=0.032, 0.2, 0.4, and 2.0ms, (A) and a T2* fitting curve for a white matter region (red oval region) (B). Exponential fitting of the white matter signals at different TEs shows a short T2* of 0.21±0.01 ms (B).
Figure 4. Representative DIR-UTE (first row) and PD-UTE (second row) images as well as corresponding MPF maps (third row) from a 32-year-old healthy male volunteer. MPF in the white matter region is much higher than that of the gray matter region.