• Chinese Journal of Lasers
  • Vol. 49, Issue 20, 2007302 (2022)
Cong Chen1, Miao Liu1、*, Jigang Wang2, and Shourui Yang3
Author Affiliations
  • 1Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
  • 2Tianjin Haihe Hospital, Tianjin 300222, China
  • 3School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China
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    DOI: 10.3788/CJL202249.2007302 Cite this Article Set citation alerts
    Cong Chen, Miao Liu, Jigang Wang, Shourui Yang. Spatial Registration Method for Neuronavigation Using Adaptive Thresholds[J]. Chinese Journal of Lasers, 2022, 49(20): 2007302 Copy Citation Text show less
    References

    [1] Ji B W, Chen L H, Chen Q X. Application of stereotactic technology in neurosurgery[J]. Chinese Journal of Clinical Neurosurgery, 22, 517-519(2017).

    [2] Thomas N W D, Sinclair J. Image-guided neurosurgery: history and current clinical applications[J]. Journal of Medical Imaging and Radiation Sciences, 46, 331-342(2015).

    [3] Perwög M, Bardosi Z, Freysinger W. Experimental validation of predicted application accuracies for computer-assisted (CAS) intraoperative navigation with paired-point registration[J]. International Journal of Computer Assisted Radiology and Surgery, 13, 425-441(2018).

    [4] Hong J, Hashizume M. An effective point-based registration tool for surgical navigation[J]. Surgical Endoscopy, 24, 944-948(2010).

    [5] Omara A I, Wang M N, Fan Y F et al. Anatomical landmarks for point-matching registration in image-guided neurosurgery[J]. The International Journal of Medical Robotics and Computer Assisted Surgery, 10, 55-64(2014).

    [6] Marmulla R, Lüth T, Mühling J et al. Automated laser registration in image-guided surgery: evaluation of the correlation between laser scan resolution and navigation accuracy[J]. International Journal of Oral and Maxillofacial Surgery, 33, 642-648(2004).

    [7] Zhang L X, Zhang S T, Xie H Z et al. Kinect-based automatic spatial registration framework for neurosurgical navigation[J]. Journal of Shanghai Jiaotong University (Science), 19, 617-623(2014).

    [8] Fan Y F, Yao X F, Xu X F. A robust automated surface-matching registration method for neuronavigation[J]. Medical Physics, 47, 2755-2767(2020).

    [9] Choi A, Chae S, Kim T H et al. A novel patient-to-image surface registration technique for ENT- and neuro-navigation systems: proper point set in patient space[J]. Applied Sciences, 11, 5464(2021).

    [10] Chen X R, Wang M N, Song Z J. Global optimization surface-based registration for image-to-patient registration using Gaussian mixture model[J]. Journal of Medical Imaging and Health Informatics, 5, 1870-1874(2015).

    [11] Jiang L, Zhang S T, Yang J et al. A robust automated markerless registration framework for neurosurgery navigation[J]. The International Journal of Medical Robotics and Computer Assisted Surgery, 11, 436-447(2015).

    [12] Shin S, Lee D, Kim Y et al. Markerless registration for intracerebral hemorrhage surgical system using weighted iterative closest point (ICP)[C], 2012, 5306-5309(2012).

    [13] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration[C], 3212-3217(2009).

    [14] Towers C E, Towers D P, Jones J D C. Absolute fringe order calculation using optimised multi-frequency selection in full-field profilometry[J]. Optics and Lasers in Engineering, 43, 788-800(2005).

    [15] Rusu R B, Marton Z C, Blodow N[EB/OL]. Persistent point feature histograms for 3D point clouds. https://ebooks.iospress.nl/publication/29396

    Cong Chen, Miao Liu, Jigang Wang, Shourui Yang. Spatial Registration Method for Neuronavigation Using Adaptive Thresholds[J]. Chinese Journal of Lasers, 2022, 49(20): 2007302
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