Madhwesha Rao1, Graham Norquay1, and Jim Wild1
1University Of Sheffield, Sheffield, United Kingdom
Synopsis
This study establishes a correlation between cerebral
perfusion and gas uptake using 1H arterial spin labeling and T2
weighted imaging for cerebral blood perfusion, and inhaled hyperpolarized 129Xe
brain MR imaging for cerebral uptake of a free-diffusible noble gas. Using arterial
transit time and cerebral blood volume maps, along with xenon images, correlation
coefficients between 0.34 and 0.63 was observed for healthy subjects between
the ages 26 and 36 years. The distinct properties of water and noble gas opens
up the opportunity to use them in conjunction to understand aspects of brain
physiology.
Introduction
Human brain perfusion can be quantified in terms
of arterial transit time (ATT), cerebral blood flow (CBF) and arterial cerebral
blood volume (CBV) using a set of 1H arterial spin labelling (ASL)
difference images acquired at various post labelling delay (PLD) times, representing
the underlying dynamics of water molecules within the blood vessels1-6. Recent studies have
demonstrated hyperpolarized (HP) 129Xe MRI in the human brain using
inhaled gas7,8. Due to its passive nature8, xenon gas uptake in cerebral tissue is by diffusive gas-exchange from
the capillaries to brain tissue; in addition, the MR signal is sensitive to residency time and oxygenation
of arterial blood9-11. Using images
obtained with 1H ASL and T2 weighted (T2W) MRI, this work
establishes correlations between cerebral perfusion and gas-exchange/uptake observed
with hyperpolarized 129Xe brain MRI in the human brain. Methods
Five healthy male volunteers (age 26, 28, 32, 35 and
36 years) were imaged on a 3.0 T Philips Ingenia scanner for 1H ASL
and T2W MRI and then on a 1.5 T GE HDx scanner for HP 129Xe brain
MRI, after obtaining informed written consent. 1 L of xenon gas dose was
polarized to 30% polarization using a high-yield spin exchange optical pumping
polarizer12.
HP 129Xe
brain images were acquired with the imaging parameters as described in8, with field of view 24 cm and slice thickness 50 mm. Three sets
of pulsed continuous ASL difference images were acquired with PLD times of
1225, 1525 and 1825 ms. Other imaging parameters were identical; Gradient echo EPI, field of view 24 cm, slice thickness 7 mm, flip angle 40°, TE=14 ms, TR=4.25 s and
labeling duration 1650 ms. ATT (ms), CBF (mL per minute per 100 g of tissue)
and CBV (mL per 100 g of tissue) maps were generated as descried in literature1-6.
T2W images were acquired with spin echo, TE=80 ms, TR=3 s, flip angle 90° and
with same voxel grid as the ASL. Partial volume of gray matter (PGM) was estimated
using T2W images13,14.
Arterial cerebral blood volume for gray matter (CBVGM, mL per 100 g
of gray matter) was estimated using CBV and PGM. In order to spatially correlate
1H MRI based model of cerebral xenon perfusion (xenon perfusion model) with the acquired HP 129Xe brain MRI,
CBVGM map was weighted for regional depolarization that HP 129Xe
would experience during its transit in the blood using ATT map and T1
relaxation of HP 129Xe in arterial blood (7 s9,11)
and gray matter (GM) (16 s15). 7 continuous slices of the same anatomical location
as 129Xe MRI were summed for effective thickness of 49 mm. The
intensity of pixels in the xenon
perfusion model was spatially correlated with that of 129Xe MRI.
Results
Images obtained from 1H ASL and T2W
MRI, and the derived maps of ATT, CBF, CBV, PGM and CBVGM for 26
year old volunteer for a representative slice is shown in Figure 1. A schematic
of the steps involved in deriving a xenon
perfusion model is shown in Figure 2. The 129Xe brain MRI from
all volunteers are shown in Figure 3 and 4. Correlation between 129Xe
MRI and the xenon perfusion model for
the 26 year old volunteer is shown in Figure 4, and indicates a voxel-wise correlation
coefficient of 0.53. The correlation coefficients for volunteers 36, 35, 32 and
28 years old were 0.44, 0.63, 0.43 and 0.34 respectively. Discussion
The correlation obtained is moderate with the
correlation coefficient between 0.34 and 0.63, and can be attributed to:
- Xenon
perfusion model based on 1H images is a manifestation of blood
perfusion and uptake of water in the GM, whereas a 129Xe brain MR image
is a manifestation of delivery and uptake of a free-diffusible noble gas which
passively crosses the blood-brain barrier.
- Xenon
perfusion model inherits uncertainty from ASL1-6,
image segmentation13,14,
image registration, signal-to-noise ratio and assumptions such as blood-brain water
partition coefficient (0.9)16, T1 relaxation of 1H in blood at 3.0 T (1650
ms)17, T1
relaxation of 1H in GM at 3.0 T (1550 ms)18,
T1 relaxation of 129Xe in arterial blood9,11,
T1 relaxation of 129Xe in GM15, labelling efficiency (0.85)19
and weighted delay4.
- Although 129Xe image is heavily weighted
towards well-perfused GM8, there is appreciable uptake in the white matter as
well7, which is neglected in the xenon perfusion model.
Conclusion
This work establishes spatial correlations
between ASL maps of water-uptake and maps of 129Xe gas-uptake in the
human brain, and opens up the opportunity to use them together to understand aspects
of brain physiology such as blood-brain barrier gas-exchange.Acknowledgements
This work was funded by the Engineering and Physical Sciences Research
Council (EPSRC - EP/D070252/1), National Institute for Health Research (NIHR -
RP-R3-12-027) and Medical Research Council (MRC - MR/M008894/1).References
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