Kinect-based automatic spatial registration framework for neurosurgical navigation

Journal of Shanghai Jiaotong University (Science)

Volumn 19, Issue 5, 2014, Pages 617-623

  Zhang, Li xia ^a   Zhang, Shao ting ^b   Xie, Hong zhi ^c   Zhuang, Xia hai ^d   Gu, Li xu ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b University of North Carolina at Charlotte   (United States)

^c PEKING UNION MEDICAL COLLEGE HOSPITAL   (China)

^d SHANGHAI ADVANCED RESEARCH INSTITUTE   (China)

Author keywords

coherent point drift (CPD); neurosurgical navigation; surface based registration

Indexed keywords

MAGNETIC RESONANCE IMAGING; NAVIGATION; NEUROSURGERY;

COARSE TO FINE; COHERENT POINT DRIFTS; FACIAL SURFACES; IMAGE-GUIDED NAVIGATIONS; INTRA-OPERATIVE; LOGISTIC SUPPORT; SPATIAL REGISTRATIONS; SURFACE-BASED REGISTRATION;

COMPUTERIZED TOMOGRAPHY;

EID: 84919650829     PISSN: 10071172     EISSN: 19958188     Source Type: Journal    
DOI: 10.1007/s12204-014-1550-2     Document Type: Article

References (16)

1. Peters T M. Image-guidance for surgical procedures [J]. Physics in Medicine and Biology, 2006, 51(14): R505–R540.
2. Maurer Jr C R, Maciunas R J, Michael Fitzpatrick J. Registration of head CT images to physical space using a weighted combination of points and surfaces [J]. IEEE Transactions on Medical Imaging, 1998, 17(5): 753–761.
3. Marmulla R, Hassfeld S, Lüth T, et al. Laserscan-based navigation in cranio-maxillofacial surgery [J]. Journal of Cranio-Maxillofacial Surgery, 2003, 31(5): 267–277.
4. Hoffmann J, Westendorff C, Leitner C, et al. Validation of 3D-laser surface registration for imageguided cranio-maxillofacial surgery [J]. Journal of Cranio-Maxillofacial Surgery, 2005, 33(1): 13–18.
5. Eggers G, Mühling J, Marmulla R. Image-topatient registration techniques in head surgery [J]. International Journal of Oral and Maxillofacial Surgery, 2006, 35(12): 1081–1095.
6. Khoshelham K, Elberink S O. Accuracy and resolution of Kinect depth data for indoor mapping applications [J]. Sensors, 2012, 12(2): 1437–1454.
7. Berger K, Ruhl K, Schroeder Y, et al. Markerless motion capture using multiple color-depth sensors [C]// Vision Modeling Visualization. Bangor, Wales: Eurographics Association, 2011: 317–324.
8. Otsu N. A threshold selection method from gray-level histograms [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1): 62–66.
9. Li H, Shen T, Huang X. Approximately global optimization for robust alignment of generalized shapes [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(6): 1116–1131.
10. Jian B, Vemuri B C. Robust point set registration using Gaussian mixture models [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8): 1633–1645.
11. Zhang S, Zhan Y, Dewan M, et al. Towards robust and effective shape modeling: Sparse shape composition [J]. Medical Image Analysis, 2012, 16(1): 265–277.
12. Zhang S, Zhan Y, Cui X, et al. 3D anatomical shape atlas construction using mesh quality preserved deformable models [J]. Computer Vision and Image Understanding, 2013, 117(9): 1061–1071.
13. Myronenko A, Song X. Point set registration: Coherent point drift [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(12): 2262–2275.
14. Salvi J, Matabosch C, Fofi D, et al. A review of recent range image registration methods with accuracy evaluation [J]. Image and Vision Computing, 2007, 25(5): 578–596.
15. Hernandez M, Choi J, Medioni G. Laser scan quality 3-D face modeling using a low-cost depth camera [C]// 20th European Signal Processing Conference. Bucharest, Romania: IEEE, 2012: 1995–1999.
16. Meyer G P, Do M N. Real-time 3D face modeling with a commodity depth camera [C]// 2013 IEEE International Conference on Multimedia and Expo Workshops. San Jose, CA: IEEE, 2013: 1–4.