Sharada Balaji1, Adam Dvorak1, Irene M. Vavasour2,3, Megan E. Poorman4, Hanwen Liu1, Emil Ljungberg5,6, Steve Williams6, Sean Deoni7, Cornelia Laule1,2,3,8, David K.B. Li2, G.R. Wayne Moore3,8,9, Alex MacKay1,2, and Shannon H. Kolind1,2,3,9
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2Radiology, University of British Columbia, Vancouver, BC, Canada, 3International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 4Hyperfine, Inc., Guilford, CT, United States, 5Medical Radiation Physics, Lund University, Lund, Sweden, 6Neuroimaging, King's College London, London, United Kingdom, 7MNCH D&T, Bill and Melinda Gates Foundation, Seattle, WA, United States, 8Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 9Medicine, University of British Columbia, Vancouver, BC, Canada
Synopsis
A
single hemisphere of postmortem brain tissue from a subject with multiple
sclerosis (MS) was scanned at high (Philips Elition 3T) and low (Hyperfine
Swoop 64mT) field strength to determine whether lesions could be detected using
a portable low field MRI system. T2-weighted scans were acquired at both field
strengths with matching resolutions to assess the impact of low field.
Comparisons with a high resolution 3T scan showed that of 17 visible lesions, 11 were seen on the lower resolution 3T
and 10 were seen on the 64mT scan, demonstrating the feasibility of lesion
detection at low field.
Introduction
Multiple
sclerosis (MS) is a chronic inflammatory disease of the central nervous system
characterised by demyelinating lesions that inform the diagnosis and monitoring
of MS. Lesions are typically identified using FLAIR and T2-weighted1 (T2w) images at clinical field strengths
of 1.5T and 3T. Recently developed, low field, point-of-care MRI scanners have
the potential to vastly improve accessibility of imaging for MS diagnosis and
care. Hyperfine Inc manufactures a 64mT point-of-care system2,3 with standard imaging sequences and
protocols suited to MS.
The
purpose of this study was to determine whether lesions visible in postmortem
tissue at 3T could be detected at 64mT. Here we compared a high resolution T2w
3T scan of postmortem brain tissue from a subject with MS to resolution-matched
64mT and 3T scans, to determine the feasibility of detecting lesions at low
field. Methods
Acquisition: The following 3DT2w sequences were
acquired at 3T (Philips Elition X, 32-channel head coil) or 64mT (Hyperfine
Swoop, 8-channel head coil) for a single hemisphere of formalin fixed
postmortem brain tissue from a 68-year-old male with MS:
1. Higher resolution 3T: Turbo Spin Echo (TSE)
factor=14, Compressed Sensing (CS) factor=3, effective TE/TR=42.36/1000ms, 299 slices acquired at 1x1x1mm3,
reconstructed to 0.67x0.67x0.67mm3, 2 signal averages,
acquisition time=6m:36s
2. Lower resolution 3T: TSE factor=14, no under sampling, effective TE/TR=42/1000ms, 40
slices at 1.5x1.5x5mm3, 4 signal averages, acquisition time=9m:50s
3.
Lower
resolution 64mT: custom sequence developed for scanning fixed tissue with
TSE factor=10, effective TE/TR=28.85/2000ms,
40 slices at 1.5x1.5x5mm3, 6 averages in image space, acquisition time per average=21m:7s, total acquisition time=126m:42s
The
container for the postmortem tissue did not fully fit in the 64mT scanner head
coil, so all images presented here were cropped to only include the overlapping
field-of-view.
Analysis: The higher resolution 3T 3DT2w scan
was used as the gold standard for lesion identification. Lower resolution
images were compared to the gold standard to identify and count lesions. For
each scan, the volume of the smallest identifiable lesion was calculated from a
manually drawn lesion mask (fslstats,
FSL4). Results
Figure 1 shows a qualitative comparison of
the scans at similar slice locations where all lesions in the higher resolution
3T scan are visible in both lower resolution images. Figure 2 shows examples of slice locations where lesions in the
higher resolution 3T scan are less visible in the lower resolution 64mT scan.
Figure 3 shows a comparison of the lower
resolution 64mT scan with 1, 2, 4 and 6 averages in image space.
Table 1 shows the smallest detected lesion
volume from each scan, and the volume of a common lesion (marked by an asterisk
in Figure 1a) from each scan. Discussion
Of
the 17 lesions identified on the higher resolution 3T scan, 11 were clearly visible
on the lower resolution 3T scan and 10 on the lower resolution 64mT scan. The
lesions not positively identified at
low field nevertheless showed as an area of mild hyperintensity, as seen in Figure 2a. The smallest detected lesion
volumes varied between the higher resolution 3T and lower resolution scans.
This suggests that resolution will be the major factor for lesion detection at
either field strength. Image quality improved with averaging as expected,
though most lesions were visible with fewer averages (Figure 3).
The
low field scan took 21m:7s to acquire a single average, longer than the higher
or lower resolution 3T scans (2 averages in 6m:36s and 4 averages in 9m50s,
respectively). This difference in acquisition time can be attributed to the ~50
times lower signal-to-noise ratio at 64mT versus 3T, which requires much more
sampling to provide similar SNR5; further optimization
of the sequence is expected to reduce the low field scan time.
Fixation of ex vivo tissue is also known to cause changes to imaging
characteristics, such as reduced relaxation times6–8. At 3T, echo times were lowered relative
to standard in vivo echo times to account for the altered relaxation times and
provide an acceptable level of contrast for lesion identification. Similar
changes were then made at 64mT, taking into consideration the reduction in T1
and similar T2 values that can be expected at low field5,9,10.
Recent
work in vivo using FLAIR at 64mT to detect MS lesions11,12 showed good agreement with the
smallest detected lesion sizes presented here. Now that the feasibility of lesion
detection has been demonstrated, further studies to map T1 and T2 of brain
tissue at low field are needed to optimize lesion visibility at low field.Conclusion
Resolution-matched
T2w scans of postmortem MS brain tissue at 3T and 64mT were compared to a higher
resolution 3T scan. Many of the lesions visible on the gold standard higher resolution
3T scan were also detected with the low-field portable MRI, showing the
feasibility of lesion detection, and paving the way for further in vivo work in
MS using low field, point-of-care systems.Acknowledgements
We
sincerely thank the MS patient and family for tissue donation. We thank
Hyperfine Inc and the MR technologists at the UBC MRI Research Centre for their
involvement and support. This research was funded in parts by the Bill & Melinda Gates Foundation,
Brain Canada (SK), Michael Smith Health Research BC (SK, HL), NSERC (SB, SK,
AD) and the Multiple Sclerosis Society of Canada (GRWM).
References
1. Filippi M,
Preziosa P, Banwell BL, et al. Assessment of lesions on magnetic resonance
imaging in multiple sclerosis: practical guidelines. Brain.
2019;142(7). doi:10.1093/brain/awz144
2. Sheth KN,
Mazurek MH, Yuen MM, et al. Assessment of Brain Injury Using Portable,
Low-Field Magnetic Resonance Imaging at the Bedside of Critically Ill
Patients. JAMA Neurology. 2021;78(1). doi:10.1001/jamaneurol.2020.3263
3. Mazurek MH,
Cahn BA, Yuen MM, et al. Portable, bedside, low-field magnetic resonance
imaging for evaluation of intracerebral hemorrhage. Nature Communications.
2021;12(1). doi:10.1038/s41467-021-25441-6
4. Jenkinson
M, Beckmann CF, Behrens TEJ, Woolrich MW, Smith SM. FSL. NeuroImage.
2012;62(2). doi:10.1016/j.neuroimage.2011.09.015
5. Marques JP,
Simonis FFJ, Webb AG. Low‐field MRI: An MR physics perspective. Journal of
Magnetic Resonance Imaging. 2019;49(6). doi:10.1002/jmri.26637
6. Raman MR,
Shu Y, Lesnick TG, Jack CR, Kantarci K. Regional T 1 relaxation
time constants in Ex vivo human brain: Longitudinal effects of formalin
exposure. Magnetic Resonance in Medicine. 2017;77(2).
doi:10.1002/mrm.26140
7. Shatil AS,
Uddin MN, Matsuda KM, Figley CR. Quantitative Ex Vivo MRI Changes due to
Progressive Formalin Fixation in Whole Human Brain Specimens: Longitudinal
Characterization of Diffusion, Relaxometry, and Myelin Water Fraction
Measurements at 3T. Frontiers in Medicine. 2018;5.
doi:10.3389/fmed.2018.00031
8. Dawe RJ,
Bennett DA, Schneider JA, Vasireddi SK, Arfanakis K. Postmortem MRI of human
brain hemispheres: T 2 relaxation times during formaldehyde
fixation. Magnetic Resonance in Medicine. 2009;61(4).
doi:10.1002/mrm.21909
9. O’Reilly T,
Webb AG. In vivo T 1 and T 2 relaxation time maps of
brain tissue, skeletal muscle, and lipid measured in healthy volunteers at 50
mT. Magnetic Resonance in Medicine. Published online September 14,
2021. doi:10.1002/mrm.29009
10. Rooney WD,
Johnson G, Li X, et al. Magnetic field and tissue dependencies of human brain
longitudinal1H2O relaxation in vivo. Magnetic Resonance in Medicine.
2007;57(2). doi:10.1002/mrm.21122
11. Arnold TC, Tu D, Okar SV, Nair G, By S, Kawatra K,
Robert-Fitzgerald TE, Desiderio L, Schindler MK, Shinohara RT, Reich DS, Stein
JM. Portable, Low-Field Magnetic Resonance Imaging Sensitively Detects and
Accurately Quantifies Multiple Sclerosis Lesions. In: European Committee for
Treatment and Research in Multiple Sclerosis. ; 2021.
12. Okar SV, Nair
G, Kawatra Karan D, By S, Arnold TC, Tu D, Robert-Fitzgerald TE, Shinohara RT,
Stein JM, Reich DS. Sensitivity of Ultra-Low-Field Magnetic Resonance Imaging
for White Matter Lesions and Leptomeningeal Enhancement in Multiple Sclerosis.
In: European Committee for the Treatment and Research in Multiple Sclerosis.
; 2021.