Abstract
As image-guided navigation plays an important role in neurosurgery, the spatial registration mapping the pre-operative images with the intra-operative patient position becomes crucial for a high accurate surgical output. Conventional landmark-based registration requires expensive and time-consuming logistic support. Surface-based registration is a plausible alternative due to its simplicity and efficacy. In this paper, we propose a comprehensive framework for surface-based registration in neurosurgical navigation, where Kinect is used to automatically acquire patient’s facial surface in a real time manner. Coherent point drift (CPD) algorithm is employed to register the facial surface with pre-operative images (e.g., computed tomography (CT) or magnetic resonance imaging (MRI)) using a coarse-to-fine scheme. The spatial registration results of 6 volunteers demonstrate that the proposed framework has potential for clinical use.
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Foundation item: the National Natural Science Foundation of China (Nos. 61190120, 61190124 and 61271318) and the Biomedical Engineering Fund of Shanghai Jiaotong University (No. YG2012ZD06)
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Zhang, Lx., Zhang, St., Xie, Hz. et al. Kinect-based automatic spatial registration framework for neurosurgical navigation. J. Shanghai Jiaotong Univ. (Sci.) 19, 617–623 (2014). https://doi.org/10.1007/s12204-014-1550-2
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DOI: https://doi.org/10.1007/s12204-014-1550-2