Nested sphere statistics of skeletal models

作者: Stephen M. Pizer , Sungkyu Jung , Dibyendusekhar Goswami , Jared Vicory , Xiaojie Zhao

DOI: 10.1007/978-3-642-34141-0_5

关键词:

摘要: … These models are first mathematically defined in continuous … We describe means of fitting these skeletal models into … be developed that these discrete skeletal models live in an abstract …

参考文章(35)
Stephen Pizer, Kaleem Siddiqi, Medial Representations: Mathematics, Algorithms and Applications Springer Publishing Company, Incorporated. ,(2008)
Sungkyu Jung, Xiaoxiao Liu, J. S. Marron, Stephen M. Pizer, Generalized PCA via the Backward Stepwise Approach in Image Analysis Springer, Berlin, Heidelberg. pp. 111- 123 ,(2010) , 10.1007/978-3-642-16259-6_9
Michael Leventon, Eric Grimson, Olivier Faugeras, Ron Kikinis, William Wells, Knowledge-Based Segmentation of Medical Images Geometric Level Set Methods in Imaging, Vision, and Graphics. pp. 401- 420 ,(2003) , 10.1007/0-387-21810-6_21
Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Malcolm J. Avison, Anuj Srivastava, Parameterization-invariant shape statistics and probabilistic classification of anatomical surfaces information processing in medical imaging. ,vol. 22, pp. 147- 158 ,(2011) , 10.1007/978-3-642-22092-0_13
Urszula Sta´nczyk Stanisław Kozielski Alicja Wakulicz-Deja James F. Peters, Krzysztof A. Cyran, Advances in Intelligent and Soft Computing Springer. ,(2009)
Timothy B. Terriberry, Sarang C. Joshi, Guido Gerig, Hypothesis testing with nonlinear shape models information processing in medical imaging. ,vol. 19, pp. 15- 26 ,(2005) , 10.1007/11505730_2
Lauge Sørensen, Pechin Lo, Asger Dirksen, Jens Petersen, Marleen de Bruijne, Dissimilarity-based classification of anatomical tree structures information processing in medical imaging. ,vol. 22, pp. 475- 485 ,(2011) , 10.1007/978-3-642-22092-0_39
D. Barden, T. K. Carne, D. G. Kendall, Shape and Shape Theory ,(1999)
Xavier Pennec, Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy Emerging Trends in Visual Computing. ,vol. 5416, pp. 347- 386 ,(2009) , 10.1007/978-3-642-00826-9_16