Positive visualization of interventional devices with susceptibility mapping using the  Turbo Spin Echo Sequence
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

1. Dong Y, Chang Z, Ji. J. Imaging and Localizing Interventional Devices by Susceptibility Mapping Using MRI. Conf Proc IEEE Eng Med Biol Soc. Chicago 2014. p. 1541-1544.

2. Dong Y, Chang Z, Xie G, Whitehead G, Ji JX. Susceptibility-based positive contrast MRI of brachytherapy seeds. Magn Reson Med 2014;74:716-726.

3. de Rochefort L, Liu T, Kressler B, et al. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging. Magn Reson Med 2010;63(1):194-206.

Figures

Fig.1 (a) A photo of the biopsy needle phantom; (b) magnitude image; (c~e) the positive contrast images generated by the proposed method, the SE-based technique and CT, respectively; (f~h) MIP reconstructions from the corresponding images obtained by the proposed method, the SE-based technique and CT.

Fig.2 (a) A photo of the tissue phantom, the locations and the spacing between the seeds are labelled with L1=5 mm, L2=15 mm and L3=10 mm; (b) magnitude image; (c~e) the positive contrast images and (f~h) MIP reconstructions generated by the proposed method, the SE-based technique and CT, respectively.

Table 1 Distance measurements between two seeds with different methods.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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