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Intelligent optical diagnosis and treatment system for automated image-guided laser ablation of tumors

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

Abstract

Purpose

For tumor resections near critical structures, accurate identification of tumor boundaries and maximum removal are the keys to improve surgical outcome and patient survival rate, especially in neurosurgery. In this paper, we propose an intelligent optical diagnosis and treatment system for tumor removal, with automated lesion localization and laser ablation.

Methods

The proposed system contains a laser ablation module, an optical coherence tomography (OCT) unit, and a robotic arm along with a stereo camera. The robotic arm can move the OCT sample arm and the laser ablation front-end to the suspected lesion area. The corresponding diagnosis and treatment procedures include computer-aided lesion segmentation using OCT, automated ablation planning, and laser control. The ablation process is controlled by a deflectable mirror, and a non-common-path ablation planning algorithm based on the transformation from lesion positions to mirror deflection angles is presented.

Results

Phantom and animal experiments are carried out for system verification. The robot could reach the planned position with high precision, which is approximately 1.16 mm. Tissue classification with OCT images achieves 91.7% accuracy. The error of OCT-guided automated laser ablation is approximately 0.74 mm. Experiments on mouse brain tumors show that the proposed system is capable of clearing lesions efficiently and precisely. We also conducted an ex vivo porcine brain experiment to verify the whole process of the system.

Conclusion

An intelligent optical diagnosis and treatment system is proposed for tumor removal. Experimental results show that the proposed system and method are promising for precise and intelligent theranostics. Compared to conventional cancer diagnosis and treatment, the proposed system allows for automated operations monitored in real-time, with higher precision and efficiency.

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Acknowledgements

The authors acknowledge supports from the National Natural Science Foundation of China (82027807, 81901907, 81771940) , and Beijing Municipal Natural Science Foundation (7212202).

Funding

The authors acknowledge supports from the National Natural Science Foundation of China (82027807, 81901907, 81771940), and Beijing Municipal Natural Science Foundation (7212202).

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Author notes

    Authors and Affiliations

    1. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China

      Yangxi Li, Chengquan Hu, Fan Mao, Xinran Zhang & Hongen Liao

    2. Beijing Institute of Radiation Medicine, Beijing, China

      Yingwei Fan

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    1. Yangxi Li
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    Contributions

    Yangxi Li and Yingwei Fan contributed equally to this work. All authors read and approved the final manuscript.

    Corresponding author

    Correspondence to Hongen Liao.

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    The animal experiments in this study were approved by the Beijing Institute of Radiation Medicine Experiment Animal Center (Animal Protocols No. IACUC-DWZX-2019–502).

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    Yangxi Li and Yingwei Fan contributed equally to this work.

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    Cite this article

    Li, Y., Fan, Y., Hu, C. et al. Intelligent optical diagnosis and treatment system for automated image-guided laser ablation of tumors. Int J CARS 16, 2147–2157 (2021). https://doi.org/10.1007/s11548-021-02457-3

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    • DOI: https://doi.org/10.1007/s11548-021-02457-3

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