Yun Jiang1, Katherine L. Wright1, Jesse Hamilton2, Wei-Ching Lo2, Ananya Panda1, Gregor Körzdörfer3,4, Shota Hodono5, Michael A. Boss6, Nicole Seiberlich1,2, Vikas Gulani1,2, and Mark A. Griswold1,2
1Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany, 5Department of Physics and Astronomy, Ohio Northern University, Ada, OH, United States, 6National Institute of Standards and Technology, Boulder, CO, United States
Synopsis
High quality,
distortion-free T1, T2 and diffusivity maps in breast imaging are
simultaneously generated using MRF framework. A good agreement of T1, T2 and
ADC between the proposed MRF method and the traditional spin echo methods is
demonstrated in a phantom and in vivo in breast imaging. This method enables
the simultaneous collection of T1, T2 and diffusion maps for tissue
characterization without the need to co-register separately acquired maps as in
conventional MRI.
Introduction:
T
1, T
2, and diffusivity can be used in characterizing tissue
properties and microstructure (1). However, the simultaneous measurement of T
1,
T
2 and diffusivity is clinically challenging using conventional MR methods due
to the long acquisition times needed to measure each property. In breast MR imaging, previous studies have shown that malignant and benign lesions have
significant differences in T
1, T
2 and diffusivity (2,3). In this study, we
extended the MRF framework (4) for a simultaneous and rapid quantification of
T
1, T
2 and apparent diffusion coefficient (ADC) in breast imaging. The
co-registered T
1, T
2 and ADC maps generated by the proposed method enable identification
and characterization of tissues by exploring the multidimensional distribution
of these three properties, which has the potential for characterizing lesions
in the breast without the EPI related distortions prevalent in conventional
approaches.
Methods:
Multiple
magnetization preparation modules including T1-inversion, T2-preparation (6),
diffusion-preparation (7), and fat saturation were inserted in a FISP-based MRF
sequence (5) to increase the T1, T2 and diffusion sensitivity and suppress the
fat signal. The proposed pulse sequence thus contained one
inversion recovery (TI of 21ms), four T2-preparation modules with TE of 20 ms,
30 ms, 50 ms and 80 ms and four diffusion-preparation modules with b-values of
50, 150, 300 and 500 s/mm2. After each magnetization
preparation module, 48 time points were acquired with a repetition time (TR) of
6.42 ms and flip angle which varied from 4° to 25°. Each time point was acquired with one
interleaf of a variable density spiral trajectory. The spiral requires 24
interleaves to fully sample the inner 25% of k-space and 48 interleaves to meet
the Nyquist criterion with a spatial resolution of 1.6×1.6 mm2 for
a field of view of 400 mm2. A total acquisition of each slice is within 60 seconds. The MRF dictionary was calculated using
these acquisition parameters in Bloch equation simulations. The dictionary included
a total of 173922 elements with T1 values ranging from 10 – 3000 ms, T2 from 2
– 800 ms and ADC from 0 – 3500×10-6 mm2/s.
All experiments were
performed on a Siemens MAGNETOM Aera 1.5T scanner (Siemens Healthcare GmbH,
Erlangen, Germany) with an 8-channel breast receiver array. For validation, a homemade phantom
consisting of 5 tubes with various concentration of Polyvinylpyrrolidone (PVP)
solution doped with MnCl2 was scanned with the proposed MRF method
as well as an inversion-recovery spin echo for T1, a multiple single echo spin
echo for T2 and a diffusion-weighted spin echo for ADC values at room
temperature. In vivo imaging was performed after informed consent in this
IRB-approved study.
T1, T2 and ADC
values of each voxel were simultaneously derived by matching the undersampled
signals to the dictionary.Results:
Figure
1a shows the T
1, T
2 and ADC maps from the doped PVP phantoms. The
mean and standard deviation of each property of each tube were calculated from
160 pixels within a circular ROI drawn on the maps. Figure 1b shows the
correlation curves of each of the properties estimated by the proposed method
plotted against the reference values from spin echo based methods. Linear
trends show that all three parameters from MRF are in good agreement with their
standards.
Figures
2 and 3 show T
1, T
2, ADC and proton density maps as well as a T1-weighted
anatomical image and ADC maps estimated by clinical DW-EPI from two representative
volunteers. An average T
1 of 1065±162ms, T
2 of 55±6ms and ADC of 1491±368 ×10
-6
mm
2/s for fibroglandular tissues were obtained from these two normal
subjects, which agrees well with the literature values acquired at 1.5T (3,8).
ADC values estimated from the proposed method are also in a good agreement with
the diffusion map sequentially acquired by conventional scans (1496±243 ×10
-6
mm
2/s).
Discussion:
These preliminary results demonstrate that quantitative T
1, T
2 and ADC values
can be simultaneously measured in breast tissue using the MRF framework. Due to
the use of the spiral trajectory, T
1, T
2 and ADC maps can be generated without
the traditional geometric EPI distortion in diffusion images. Further studies
will include additional patient studies for characterizing lesions in the breast
using this three-property quantitative space along with clinical data.
Conclusion:
An extended MRF method for generating
high quality T
1, T
2 and ADC maps in the breast was presented. This method enables the identification and characterization of breast tissues by
making use of the multidimensional distribution of these three properties.
Acknowledgements
This work was supported by Siemens
Healthcare and NIH grants 1R01EB016728-01A1, 5R01EB017219-02, R01HL094557, and R01DK098503.References
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