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Subject-specific real-time respiratory liver motion compensation method for ultrasound-MRI/CT fusion imaging

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Ultrasound-MRI/CT fusion imaging is widely used in minimal invasive surgeries, such as liver biopsy and tumor ablation. However, respiration-induced quasi-periodic liver motion and deformation cause unacceptable misalignment of the fusion images (i.e., fusion error). A subject-specific liver motion model based on skin-mounted position sensor and corresponding ultrasound liver image sequence was developed to compensate for liver motion.

Methods

External surrogate respiratory motion signal is used to predict internal liver motion. An electromagnetic position sensor fixed on abdominal skin is introduced to track the respiratory motion, and 2D ultrasound images are used to track the liver motion synchronously. Based on these measurements, a subject-specific model describing the relationship of respiratory skin motion and internal liver motion is built and applied in real time (ultrasound-MRI/CT fusion imaging system) to predict and to compensate for the liver motion due to respiratory movement. Feasibility experiments and clinical trials were carried out on a phantom and eight volunteers.

Results

Qualitative and quantitative analyses and visual inspections performed by experienced clinicians show that the proposed model could effectively compensate for the liver motion, and the ratio of motion-compensated fusion error to the original varied from 10 % (0.96/9.40 mm) to 28 % (2.90/10.22 mm).

Conclusions

An online liver motion modeling and compensation method was developed that provides surgeons with stable and accurate multimodality fusion images in real time.

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Acknowledgments

This work was supported in part by grants from National Basic Research Program of China (2011CB707701), and National Natural Science Foundation of China (61361160417, 81271735, 81127003).

Conflict of interest

None.

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Authors and Affiliations

  1. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Room C249, Beijing, 100084, People’s Republic of China

    Minglei Yang, Hui Ding & Guangzhi Wang

  2. Beijing Shen Mindray Medical Electronics Technology Research Institute Co. Ltd, 3F, Building 5, No. 8 Chuangye Road, Shangdi Haidian District, Beijing, 100085, People’s Republic of China

    Jingang Kang & Lei Zhu

Authors
  1. Minglei Yang
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  2. Hui Ding
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  3. Jingang Kang
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  4. Lei Zhu
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  5. Guangzhi Wang
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Corresponding author

Correspondence to Guangzhi Wang.

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Yang, M., Ding, H., Kang, J. et al. Subject-specific real-time respiratory liver motion compensation method for ultrasound-MRI/CT fusion imaging. Int J CARS 10, 517–529 (2015). https://doi.org/10.1007/s11548-014-1085-x

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  • DOI: https://doi.org/10.1007/s11548-014-1085-x

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