Matthew Tarasek1, Jeannette Roberts2, Deirdre Cassidy 3, Jason Castle2, Concetta Gringeri3, Desmond Yeo1, Randall Carter2, and Brian Bales2
1MRI, GE Global Research, Niskayuna, NY, United States, 2Life Sciences, GE Global Research, Niskayuna, NY, United States, 3Life Sciences, GE Healthcare UK, United Kingdom, United Kingdom
Synopsis
Contrast agents are widely
used in magnetic resonance imaging (MRI) examinations to enhance the visualization of certain pathologies
and anatomical structures to improve diagnostic accuracy. Contrast agents shorten the longitudinal
relaxation time (T1) of water molecules, and subsequent signal enhancement in T1-weighted (T1W)
images can be observed. In this work, we compare quantitative T1W
imaging and T1 mapping for detection of contrast agent deposition in
select rat brain structures. Results are presented for two distinct brain
structures in a cohort of six rats: three saline controls and three injected
with manganese chloride contrast agent.
Purpose:
Contrast agents are widely used in magnetic resonance
imaging (MRI) examinations to enhance the visualization of certain pathologies and anatomical
structures to improve diagnostic accuracy.1 Contrast agents shorten
the longitudinal relaxation time (T1) of water molecules, and subsequent signal
enhancement in T1-weighted (T1W) images can
be observed. It has been reported that T1W imaging methods do not consistently
provide enough sensitivity and reproducibility for reliable detection of T1
changes.2 In this work, we compare quantitative T1W
imaging and T1 mapping for detection of contrast agent deposition in
select rat brain structures. Results are presented for two distinct brain
structures in a cohort of six rats: three saline controls and three injected
with manganese chloride contrast agent (MnCl2(aq)).Methods:
Six
female Sprague Dawley rats were used in this study. Three control rats were injected
with saline and three test rats were injected with 0.15 mmol/kg MnCl2(aq). MR Imaging tests were performed (in vivo brain scans) on a clinical 3T GE MR750 scanner (GE Healthcare, Waukesha,
WI) using
a rat-sized transmit/receive quadrature Litz rat coil (Doty Scientific). Three
sets of imaging data were acquired: (i) pre-injection: acquired on the naïve
rats before injection, (ii) post-injection
scan 1: acquired after a saline injection was given to control rats (concurrent
MnCl2(aq) injections were given to
contrast-enhanced rats), and (iii) post-injection scan 2: acquired after a second injection
session similar to post-scan 1. During imaging, rats were anaesthetized using isofluorane and their
core body temperature was monitored by a calibrated fiber-optic rectal
thermometer (SA Instruments, Stony Brook NY). Body temperature was maintained
at 36-37oC by an MR compatible small animal heating system (SA
Instruments). Quantitative T1 data sets were acquired using a 2D
inversion recovery (IR) sequence at the following TI values: 100, 250, 800,
1200, 2000 with all times in ms. Other parameters included flip-angle (FA) =
180°/90°, recovery time (TR) = 2500ms, echo time (TE) = 3ms, field-of-view (FoV)
= 6cm2, matrix 256 x128, number of averages (NEX) = 1, full brain
slice coverage, 0.8 mm thick. Data processing for T1 mapping
datasets included (i) T1 fitting per-pixel in a user-defined ROI
covering the entire brain (Fig. 1c), (ii) registration of 3D rat brain atlas
slice to the acquired data (Fig. 1a) according to reference 5, and (iii) final selection
of an ROI within the atlas-registered T1 map for statistical analysis
(Fig. 1b and d). All computation was performed in Matlab (Mathworks, Natick,
MA). T1W data sets were
acquired using 2D spin echo sequence with the following imaging parameters: FA = 90°,
TR = 500ms, TE = 16ms, FoV = 6cm2, matrix 256 x128, NEX = 2, full
brain slice coverage, 0.4 mm thick. All data processing for T1W images was done using CineTool,
version 8.5.0 (GE Healthcare).Results:
The
plots in Fig. 2 top-bottom show the T1 relaxation time-constant
values for all rats (pre-injection, post-injection scan 1, and post-injection
scan 2) in the olfactory bulb and pituitary gland brain regions. The top plot
shows all the data in the multi-slice acquisition. Here, 3 slices covered the
olfactory bulb brain structure and 2 slices were needed to cover the pituitary
gland. The multi-slice/multi-rat data was combined and averaged into a single
plot-point in Fig. 2 bottom. In the contrast-enhanced rats, we see a T1
change of 13% and 37%, pre- to post-injection 1 for the olfactory bulb and
pituitary gland respectively. Most notably, the reproducibility of T1
estimates was within 1% from postscan 1 to postscan 2 (Table 1), and within 4%
for all control rats’ brain structures across all scan sessions. Data collected
for T1W scans indicates a >2-fold increase in measurement
uncertainty, in addition to significant observable signal changes in measured
brain structures between prescan values and postscan 1/postscan 2 (Table 1 - T1W
Data).Discussion and Conclusion:
Results suggests that use of direct T1
mapping can provide a more quantitative and repeatable measure of contrast
deposition with more than 2-fold reduction in measurement uncertainty at the concentration
levels used in this study. The issues with the T1W imaging data may be explained by signal and contrast bias due to inhomogeneities
in the RF transmit and receive field, as previous work has shown that this can
lead to >20% magnitude intensity variation at 3T.2-4 We conclude that T1 mapping may provide
a quantitative advantage
for accuracy and reproducibility over T1W imaging for contrast agent
assessment in the rat olfactory bulb and pituitary gland brain structures.Acknowledgements
No acknowledgement found.References
[1] Caravan et al.
Chem. Rev., 99:2293-2352(1999) [2] Weiskopf et al. Front. Neurosci., 7:95(2013) [3] Lutti et al. Magn. Reson. Med., 64:229–238(2010) [4] Thomas et al. Magn. Reson. Med., 53:1452-1458(2005).
[5] Tarasek et al. "Non-rigid atlas registration for improved quantitative
assessment of rat brain regions with limited inherent anatomical contrast" Proceedings of International Society for Magnetic Resonance
in Medicine (ISMRM), 27th Scientific Meeting, Paris, France, 2018 submitted