Yuran Zhu1, Yuning Gu1, Kihwan Kim1, Charlie Androjna2, Chris A. Flask1,3,4,5, Yong Chen3,6, and Xin Yu1,3,7
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, United States, 3Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 4Department of Pediatrics, Case Western Reserve University, Cleveland, OH, United States, 5Cancer Imaging Program, Case Western Reserve University, Cleveland, OH, United States, 6Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 7Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, OH, United States
Synopsis
We present a 3D MR fingerprinting (MRF)
sequence for simultaneous T1 and T2 mapping in mouse. Data
acquisition and reconstruction covered a field of view (FOV) of 30 × 30 × 9 mm3
with a matrix size of 128 x 128 x 9, yielding a spatial resolution of 0.23 × 0.23 ×
1 mm3. Retrospective undersampling analysis was performed on
fully-sampled phantom and mouse data to examine the undersampling capacity of
the proposed sequence, demonstrating that the method supports up to 16-fold
in-plane undersampling with a 3-fold through-plane undersampling.
Introduction
Preclinical investigations using mouse
models, including genetically manipulated mouse models, provide the opportunity
for the mechanistic understanding of disease pathophysiology, as well as for the
longitudinal evaluation of disease progression and the response to novel
therapeutic interventions. MR
fingerprinting (MRF) allows simultaneous T1 and T2
mapping with unprecedented efficiency.1,2 Previously, we developed a
single-slice MRF sequence that enabled simultaneous tracking of two MRI
contrast agents in a single dynamic contrast-enhanced (DCE)-MRI scan.3,4 In the current study, we present further
development of a 3D MRF sequence for brain-wide T1 and T2
mapping in mice. The potential of accelerated data acquisition for DCE-MRI
studies was examined by comparing T1 and T2 mapping using
retrospectively undersampled data. Methods
Sequence Design: The FISP-based 3D MRF sequence acquires
a total of 768 frames partitioned into 16 segments. Segments 1, 5, 9, 13 were
preceded by an inversion module with an inversion time of 21, 56, 400, 150 ms,
respectively. Eight segments were
preceded by a T2 prep module with a mixing time of either 45 ms
(Segments 3, 7, 11, 15) or 60 ms (Segments 4, 8, 12,16). Data acquisition in
each segment used flip angles ramped up sinusoidally 6° to a maximum value between
8° and 17°. Constant echo time (2.0 ms) and repetition time (10.0 ms) were
used. The acquisition time of a single fingerprint was ~21 s.
3D MRF data were acquired using a
stack-of-spiral trajectory.5,6 The
spiral trajectory sampled the entire k-space in 48 interleaves with a FOV of
30 × 30 mm2, yielding an in-plane resolution of 0.23 x 0.23 mm2.
Data acquisition in the slice direction
covered 9 mm thickness in 9 phase-encoding steps, yielding a through-plane
resolution of 1 mm.
Data Acquisition: All experiments were performed on a
Bruker 9.4T scanner with a 35-mm 1H volume coil. Fully-sampled 3D
MRF data were acquired in vitro from a phantom and in vivo from 3-month-old
male C57BL/6 mice. The phantom consisted
of 7 compartments with varied manganese concentrations ranging from 50 to 350
µM.
For in vivo scans, the mouse was anesthetized
with 1% isoflurane mixed with 100% oxygen delivered via a nose cone. A custom-built
cradle was used to hold the mouse in a prone position, with the brain positioned
at the isocenter of the magnet. The respiration rate was monitored and
maintained at 80 to 100 breaths/minute by adjusting the anesthesia level. The
body temperature was monitored and maintained at 36.5°C to 37°C by circulating warm
air (37.5°C) into the scanner bore.
Data Analysis: All images were reconstructed in MATLAB
using the NUFFT toolbox. A dictionary
was generated by solving the Bloch equation according to the MRF sequence. T1 and T2 values were
derived from the best matching dictionary entry that was determined by
calculating the inner product between the acquired fingerprint and all the
dictionary entries.
For evaluation of the undersampling
capacity of the 3D MRF sequence, retrospective undersampling was performed on
the fully sampled datasets. In-plane
undersampling factors of 4, 8, 16, and 24, and a through-plane undersampling
factor of 3 were evaluated. Normalized root-mean-square error (NRMSE) was used
to evaluate the accuracy of undersampling.Results
Reconstructed images, fingerprints, and
T1 and T2 maps generated from both fully sampled and retrospectively
undersampled phantom data are shown in Figure 1. With high in-plane undersampling factors (Rxy=
8, 16), aliasing artifacts became dominant in the images, and aliasing noise
increased drastically in the corresponding fingerprints (Figure 1A-B). Adding
through-plane undersampling (Rxy= 8, Rz= 3; Rxy=
16, Rz= 3) further increased the aliasing noise in both the reconstructed
images and the fingerprints. However, a
total undersampling factor of 48 had minimal impact on the estimated T1
and T2 maps (Figure 1C-D). While NRMSE increased with increased
undersampling factor, it was below 10% for a total undersampling factor of 48
(Figure 1E).
Figure 2 shows T1 and T2
maps from both fully sampled and retrospectively undersampled data acquired
from a mouse brain. The T1 and T2 maps demonstrate that a
16-fold in-plane acceleration combined with a 3-fold through-plane acceleration
still preserved the majority of the details with no obvious artifacts. Discussion and Conclusion
A 3D MRF sequence was developed for
simultaneous T1 and T2 mapping of the entire mouse brain.
Our results demonstrate that up to 16-fold in-plane and 3-fold through-plane
undersampling can be achieved with adequate accuracy. This undersampling capacity
will enable whole-brain T1 and T2 mapping in 3 to 5
minutes. Acknowledgements
This work was supported by a grant from
the U.S. National Institute of Health (R01 EB23704).References
1. Ma D, Gulani V, Seiberlich N, et al.
Magnetic resonance fingerprinting. Nature.
2013;495:187-192.
2. Jiang Y, Ma D, Seiberlich N, Gulani
V, Griswold, M. A. MR fingerprinting using fast imaging with steady state
precession (FISP) with spiral readout. Magn Reson Med. 2015;74:1621-1631
3. Gu Y, Wang CY, Anderson CE, Liu Y, Hu H, Johansen ML, Ma D,
Jiang Y, Ramos-Estebanez C, Brady-Kalnay S, Griswold MA, Flask CA, Yu X. Fast
magnetic resonance fingerprinting for dynamic contrast-enhanced studies in
mice. Magn Reson Med. 2018;80(6):2681-2690.
4. CE Anderson, M Johansen, BO Erokwu, H
Hu, Y Gu, Y Zhang, M Kavran, J Vincent, ML Drumm, MA Griswold, NF Steinmetz, M
Li, X Yu, SM Brady-Kalnay, CA Flask.
Dynamic, simultaneous concentration mapping of multiple MRI contrast
agents with dual contrast - magnetic resonance fingerprinting. Sci. Rep.
2019;9:19888.
5. Thedens, D.R., Irarrazaval, P.,
Sachs, T.S., Meyer, C.H., Nishimura, D.G. Fast magnetic resonance coronary
angiography with a three-dimensional stack of spirals trajectory. Magn Reson Med. 1999;41(6):631170–1179.
6. Liao C, Bilgic B, Manhard MK, Zhao B, Cao X, Zhong J, Wald
LL, Setsompop K. 3D MR fingerprinting with accelerated stack-of-spirals and
hybrid sliding-window and GRAPPA reconstruction. Neuroimage. 2017;162:13-22.