caiyun shi1, guoxi xie1,2, xiaoyong zhang1,3, min chen1, shi su1, hairong zheng1, ying dong4, jim Ji4, and xin liu1
1Shenzhen Institutes of Advanced Technology, shenzhen, China, People's Republic of, 2Beijing Center for Mathematics and Information Interdisciplinary Sciences, beijing, China, People's Republic of, 3Centers for Biomedical Engineering, College of Information Science and Technology, University of Science and Technology of China, hefei, China, People's Republic of, 4Department of Electrical and Computer Engineering, Texas A&M University, Texas, TX, United States
Synopsis
Susceptibility-based positive contrast MR imaging exhibits excellent
efficacy for visualizing the MR compatible metallic devices, by taking
advantage of their high magnetic susceptibility. In this work, a novel method
is developed to accelerate the susceptibility-based positive contrast MR
imaging. The method is
based on a modified turbo spin echo (TSE) sequence and a kernel deconvolution
algorithm with a regularized ℓ1 minimization to achieve positive contrast
imaging.Introduction
Susceptibility-based positive contrast MR imaging exhibits excellent efficacy
for visualizing the MR compatible metallic devices, by taking advantage of
their high magnetic susceptibility
(1). However, data acquisition of the original technology
is based on the spin echo(SE) sequence (SE-based technique)
(2), resulting in a low sampling efficiency. To address
this issue, a novel method is developed to accelerate the susceptibility-based
positive contrast MR imaging.
Methods
Sequence and Image Reconstruction: A
modified turbo spin echo (TSE) sequence is developed to accelerate data
acquisition.
Two
datasets are acquired (with or without echo shift) for measuring the field
induced by the device. TSE with shifted readouts (by a small amount, Tshift in the range of 0.2~0.7ms),
is used to mitigate rapid signal dephasing and phase wrapping due to the highly
susceptibility of the metallic devices. The amount of phase change induced by
the local susceptibility difference between the metallic devices and tissues
surround is accumulated during Tshift instead of the entire
TE. After the data acquisition, the susceptibility mapping is calculated by
using a kernel deconvolution algorithm with a regularized ℓ1 minimization to
realize the positive contrast image,
which is similar to the references
(2,3).
Experiments: Two sets of experimental data were acquired on a
3T MRI scanner (SIEMENS Tim Trio, Germany). The first dataset was acquired using a titanium hollow biopsy needle (2.0
mm in diameter) which was inserted into a water phantom doped with 1.0 g/L
copper sulfate solution. The needle was positioned perpendicular to B0
and the axial multi-slice data were acquired with or without Tshift of 0.6 ms. Scan
parameters are: TR= 2000 ms, TE = 18 ms, slice thickness = 1.5 mm, slice gap =
25%, in-plane resolution: 0.625×0.625 mm2, and BW=134 Hz/pixel. The second phantom experiment was carried out by
placing five brachytherapy seeds with different spacing into porcine tissue. A
plastic, bamboo toothpick and an animal bone were respectively inserted to
simulate the tissue cavity, capillary and human bone. The seeds orientation and imaging parameters were the
same as those of the first experiment, except the slice thickness was set to 1.5 mm with no gap.
Results
Results of the two experiments showed that the
positive contrast imaging (Fig. 1c & Fig. 2c) of the proposed method were
comparable to those of the SE-based technique (Fig. 1d & Fig. 2d) and CT
(Fig. 1e & Fig. 2e), even though the CT could clearly show the cavity of
the needle due to its much higher spatial resolution. The MIPs reconstructed
obtained by the proposed method (Fig. 1f & Fig. 2f) demonstrated that good
visualization of needle and seeds was realized.
The brachytherapy seeds for the proposed method and SE-based technique were
clearly identified from the bamboo toothstick (red), plastic stick (blue) and
bone (green) (Fig. 2f&g), which were
hard to differentiate them on the magnitude (Fig. 2b). Besides, the distances
L1, L2 and L3 measured from the positive MR images were very close to the real
values and the gold standard CT (Table 1).
Conclusion
An accelerated susceptibility-based positive
contrast imaging technique was developed and evaluated with phantom studies. Compared
to the SE-based technique, the proposed method provides comparable positive
contrast imaging results with significantly accelerating data acquisition of
3~4 times. Besides, similar to the SE-based technique, the proposed method can
correctly differentiate the metallic devices from other structures and
accurately visualize and localize the metallic devices, which were confirmed by
CT.
Acknowledgements
This work was supported in part by
the International Cooperation and Exchange of the National Science Foundation
of China (No. 81328013, No. 81120108012), the National Natural Science
Foundation of China (No. 81571669, No. 61201442, No.81501463), and the Natural
Science Foundation of Shenzhen (No. GJHZ20150316143320494, No.
JCYJ20140417113430603, No. KQCX2015033117354154).References
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