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.
ZHANG Li-xia1 (张丽霞), ZHANG Shao-ting2 (张少霆), XIE Hong-zhi3 (谢洪智),ZHUANG Xia-hai4 (庄吓海), GU Li-xu1* (顾力栩)
. Kinect-Based Automatic Spatial Registration Framework for Neurosurgical Navigation[J]. Journal of Shanghai Jiaotong University(Science), 2014
, 19(5)
: 617
-623
.
DOI: 10.1007/s12204-014-1550-2
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