Automated 3-D orthopedic assessments

作者: Daniel Forsberg

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摘要: Systems, methods, computer programs, and circuits can perform automated spinal assessments using a 3-D model patient image data set of the spine which do not rely on vertebral symmetry.

参考文章(28)
Daniel Forsberg, Hans Knutsson, Mats Andersson, Anders Eklund, Phase-Based Non-Rigid 3D Image Registration - From Minutes to Seconds Using CUDA high performance distributed computing. ,(2011)
Israel Hershkovitz, Ori Hay, Assessment of Spinal Anatomy ,(2010)
Xiaolei Huang, Haiying Guan, Toshiro Kubota, Arun Krishnan, Vaclav Potesil, Anna Jerebko, Xiang Zhou, System and method for whole body landmark detection, segmentation and change quantification in digital images ,(2006)
Marcos Salganicoff, Le Lu, Yiqiang Zhan, Jun Ma, Xiang Sean Zhou, Systems and Methods for Automatic Vertebra Edge Detection, Segmentation and Identification in 3D Imaging ,(2010)
Tom Vercauteren, Xavier Pennec, Aymeric Perchant, Nicholas Ayache, Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. ,vol. 11, pp. 754- 761 ,(2008) , 10.1007/978-3-540-85988-8_90
Archana P. Sangole, Carl-Eric Aubin, Hubert Labelle, Ian A. F. Stokes, Lawrence G. Lenke, Roger Jackson, Peter Newton, Three-dimensional classification of thoracic scoliotic curves. Spine. ,vol. 34, pp. 91- 99 ,(2009) , 10.1097/BRS.0B013E3181877BBB
Mannudeep K Kalra, Petter Quick, Sarabjeet Singh, Michael Sandborg, Anders Persson, Whole spine CT for evaluation of scoliosis in children: feasibility of sub-milliSievert scanning protocol. Acta Radiologica. ,vol. 54, pp. 226- 230 ,(2013) , 10.1258/AR.2012.110625