Weitian Chen1, Queenie Chan2, Min Deng1, and Yixiang Wang1
1Imaging and Interventional Radiology, the Chinese University of Hong Kong, New Territory, Hong Kong, 2Philips Healthcare, New Territory, Hong Kong
Synopsis
T1rho is a potential biomarker for evaluation of liver fibrosis. However, the
application of T1rho imaging for liver disease in human subjects remains challenging. We
propose a pulse sequence based on single shot Turbo
(Fast) Spin Echo (SSTSE or SSFSE) acquisitions to address the problems.Introduction
Chronic liver disease is
a significant health problem worldwide. Liver fibrosis is a key feature in most
chronic liver diseases. When identified early, liver fibrosis is treatable and
can be reversed. Recently, researchers reported that T1rho is sensitive for evaluation
of liver fibrosis (1). However, the application of T1rho imaging for liver
disease in human subjects is challenging due to the factors including the
presence of rich blood vessels, respiratory motion, B1 RF and B0 field
inhomogeneity, and prolonged scan time. Here we propose a pulse sequence for
T1rho imaging of liver based on single shot Turbo (Fast) Spin Echo (SSTSE or
SSFSE) acquisitions to overcome these challenges.
Methods
One
of the main advantages of using SSTSE for T1rho imaging of liver is inherent
black-blood effect. The main factors affecting blood signal suppression in SSTSE
include flip angle of refocusing pulses and echo time (2,3) We noticed that the
T1rho quantification based on T1rho-preped SSTSE acquisition is independent of
the flip angle modulation and the echo time of SSTSE, as long as SNR is
sufficient and CPMG condition is satisfied (Figure 1). This unique feature of
TSE provides us flexibility to optimize black-blood effect without compromising
T1rho quantification accuracy.
The
pulse sequence (Figure 2) starts with resetting magnetization to zero (4). A
long T1 recovery time is followed to allow longitudinal signal recovery before
T1rho-prep. SSTSE alone may be insufficient to achieve through-plane blood
suppression (5). DIR is used to improve through plane blood suppression. SPAIR
is used for fat suppression. A RF pulse cluster which has simultaneous
compensation of B1 RF and B0 field inhomogeneity is used for T1rho prep (6). A
module of phase correction is inserted between SSTSE and T1rho to maintain CPMG
condition for SSTSE imaging. The time gap after T1rho-prep is kept as short as
possible to avoid T1 contamination of T1rho contrast. Bloch simulation is used
to validate that T1 contamination during the given time gap in our pulse
sequence is ignorable. The data is acquired using SSTSE with constant
refocusing flip angles.
Data sets were acquired from a Philips Achieva 3.0T
system equipped with dual transmitter. A 32 channel cardiac coil was used as
the receiver. The scan parameters include: TR/TE=2500ms/15ms, resolution 1.5mm
x 1.5mm, slice thickness 6mm, SENSE acceleration 2, half scan factor 0.6, T1
recovery time 2220ms, NSA 1, four TSL = [0 10 30 50ms], and spinlock frequency
500Hz. All TSLs of a 2D slice was acquired within a single breathhold of 10
seconds. RF shimming was applied to reduce B1 inhomogeneity. The data sets were
fitted to a mono-exponential model using Levenberg-Marquardt non-linear least
square fitting method.
Results and Discussion
Figure
3 shows the acquired images and the corresponding T1rho map. The mean T1rho
value of liver within ROI is 43ms, and the mean of the goodness-of-fit is 0.96.
Note most blood signal has been suppressed. Further studies are needed to
optimize parameters for blood suppression. The rapid scan time and high SNR
efficiency make the proposed pulse sequence potentially useful for routine
clinical use. However, reproducibility test is needed to validate the robustness
of this pulse sequence. Additional clinical studies are also needed to further
understand the value of T1rho imaging for liver disease.
Conclusion
A new
pulse sequence for T1rho imaging of liver disease is proposed which can be used
to acquire a 2D T1rho map of liver within a single breathhold of 10 seconds
with black blood effect
Acknowledgements
We would like to acknowledge the help from Feng Huang, Chengguang Zhao, and Zhigang Wu from Philips Healthcare for the help on pulse sequence programmingReferences
1.
Wang YX et al, Radiology 2011, p712 2. Busse R, ISMRM Proceeding 2006, p2430 3.
Storey P et al, MRM 2010, p1098. 4. Li
et al, MRM 2008, p298 5. Jara H et al, MRM 1999, p575 6. Witschey WRT et al,
JMR 2007, p75