Kinect-based automatic spatial registration framework for neurosurgical navigation |
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Authors: | Li-xia Zhang Shao-ting Zhang Hong-zhi Xie Xia-hai Zhuang Li-xu Gu |
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Institution: | 1. School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, 200030, China 2. Department of Computer Science, University of North Carolina, Charlotte, NC, 28223, USA 3. Peking Union Medical College Hospital, Beijing, 100730, China 4. Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
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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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