Yajun Ma1, Graeme Bydder1, and Jiang Du1
1Department of Radiology, UCSD, San Diego, CA, United States
Synopsis
Conventional
MT modeling can only be applied to long T2 tissues since short T2 tissues such
as cortical bone show little or no signal with clinical sequences. Ultrashort
echo time magnetization transfer (UTE-MT) imaging is likely to help with this
difficulty. In this study we aimed to develop and utilize UTE-MT imaging and
compare two-pool with three-pool modeling of bovine cortical bone samples
using a clinical 3T scanner.INTRODUCTION
Magnetization
transfer (MT) is a MR technique that generates contrast based on the exchange
of magnetization between several groups of spins in different molecular
environments. Both two-pool and three-pool models have been proposed to
characterize the different groups of spins. The three-pool MT model divides the
spins within a biological tissue into three groups: 1) a free pool A, composed
of mobile protons; 2) a bound water pool B, composed of water protons bound to
macromolecules and 3) a semisolid pool C, that consists of macromolecular
protons1. The two-pool MT model is highly simplified and only
considers a water pool A and a macromolecule pool B. Theoretically, a three-pool
model should be more accurate than the two-pool model for describing biological
tissues.
Moreover, conventional
MT modeling can only be applied to long T2 tissues since short T2 tissues such
as cortical bone show litter or no signal with clinical sequences. Ultrashort
echo time magnetization transfer (UTE-MT) imaging is likely to help with this
difficulty. In this study we aimed to develop and utilize UTE-MT imaging and
compare with two-pool and three-pool modeling of bovine cortical bone samples
using a clinical 3T scanner.
MATERIALS AND METHODS
Both two-pool and
three-pool MT models have been described in details in the literature1-4.
Pool B is generally considered MR “invisible”. This is true with common
clinical sequence but not correct with UTE sequences. With UTE-MT sequence, the
signal equation is a combination of the steady-state longitudinal magnetization
of pools A and B:$$S=M_z^Ae^{-TE/T_{2A}}+M_z^Be^{-TE/T_{2B}} [1]$$.
Where T2A
and T2B are the T2 value of pools A and B. TE
is the echo time. Data with different TEs can be useful in separating pools A
and B. In addition, the continuous wave power equivalent (CWPE) method4
for pulsed wave MT saturation used for the two-pool MT model can also be used
for the three-pool modeling. Here, Gauss spectral absorption lineshape for the
pool C was employed.
Data were acquired
from a sectioned bovine cortical bone specimen (thickness=2cm) using a 2D non-slice
selective UTE-MT sequence on a clinical 3T scanner (GE Healthcare Technologies,
Milwaukee, WI). The UTE sequence employed a short rectangular
pulse (duration=32µs) excitation followed by 2D radial ramp sampling with a
minimal nominal TE of 8µs. The MT preparation utilized a Fermi shaped RF pulse
(duration=8ms) and a gradient crusher. The UTE-MT imaging protocol included:
TR=100ms, TE=8µs, FOV=4cm, matrix=128×128, five saturation powers (300°, 600°,
900°, 1200° and 1500°) and five frequency offsets (2, 5, 10, 20 and 50 kHz)
with a total of 25 different MT dataset. In addition, UTE data with sixteen TEs
(i.e. 0.01, 0.1, 0.2, 0.4, 0.6, 0.8, 1.0, 1.5, 2, 2.5, 3, 4, 5, 6, 7, 8 ms) were
acquired for bi-component T2* analysis.
For data
processing, two-pool MT modeling was employed first to provide useful
information for further three-pool modeling, such as the T2 value and fraction
of semisolid pool C. These two parameters are fixed in the three-pool modeling
in order to reduce the sensitivity to fitting errors. Finally the MT data and
multiple TE data were combined together to fit Eq. [1].
RESULTS AND DISCUSSION
Fig. 1 shows a representative
UTE image of a bovine cortical bone sample, and the region of interest used for
MT analysis. Fig. 2 shows the two-pool MT model and excellent fitting curves. Table
1 shows the fitting results. The macromolecule pool has a short T2 of 14.5 µs
and a fraction of 42.6%, consistent with results from NMR spectroscopy studies
of cortical bone samples.
Fig. 3a shows the
chain coupled three-pool model employed in this study. It is based on the assumption
that the exchange rate between A and C is significantly less than the exchange
rates between both A and B and B and C. The three-pool fitting curves are shown
in the Fig. 3b and the corresponding fitting parameters are shown in Table 2. Pore
water, bound water and macromolecule protons have T2s of 1.63 ms, 0.27ms and
14.5µs, with fractions of 13.2%, 44.2% and 42.6%. These values are largely
consistent with the literature.
CONCLUSION
We have
demonstrated that both two-pool and three-pool MT modeling can be accomplished in
bovine cortical bone samples with the UTE-MT sequence. The two-pool modeling
and UTE bi-component analysis provide prior information useful for the
three-pool modeling and reduces fitting errors minimized. The two-pool and
three-pool UTE-MT modeling approach can be applied to many other short T
2
tissues such as menisci, ligaments, tendons, deep radial and calcified
cartilage. It can provide a comprehensive evaluation of joint tissues
degeneration in osteoarthritis (OA) and bone properties in osteoporosis (OP).
Acknowledgements
No acknowledgement found.References
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