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Titlebook: Computational Methods and Clinical Applications for Spine Imaging; Proceedings of the W Jianhua Yao,Tobias Klinder,Shuo Li Conference proce

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書(shū)目名稱Computational Methods and Clinical Applications for Spine Imaging
副標(biāo)題Proceedings of the W
編輯Jianhua Yao,Tobias Klinder,Shuo Li
視頻videohttp://file.papertrans.cn/233/232688/232688.mp4
概述This is the first spine workshop conjunct with MICCAI, the primary conference in medical image analysis.The only proceedings volume to cover such a comprehensive topic in the field.Thorough coverage o
叢書(shū)名稱Lecture Notes in Computational Vision and Biomechanics
圖書(shū)封面Titlebook: Computational Methods and Clinical Applications for Spine Imaging; Proceedings of the W Jianhua Yao,Tobias Klinder,Shuo Li Conference proce
描述This book contains the full papers presented at the MICCAI 2013 workshop Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together researchers representing several fields, such as Biomechanics, Engineering, Medicine, Mathematics, Physics and Statistic. The works included in this book present and discuss new trends in those fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modelling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.
出版日期Conference proceedings 2014
關(guān)鍵詞Image Based Modeling; Image Processing; Image Segmentation; MICCAI; MICCAI 2013; Spine Imaging
版次1
doihttps://doi.org/10.1007/978-3-319-07269-2
isbn_softcover978-3-319-35805-5
isbn_ebook978-3-319-07269-2Series ISSN 2212-9391 Series E-ISSN 2212-9413
issn_series 2212-9391
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Eigenspine: Eigenvector Analysis of Spinal Deformities in Idiopathic Scoliosisund between the anterior-posterior displacement and the sagittal rotation of the vertebrae, and that a somewhat weaker but still strong correlation is found between the lateral displacement and the frontal rotation of the vertebrae. These results are well in-line with the general understanding of id
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A Semi-automatic Method for the Quantification of Spinal Cord Atrophyshown in a volunteer scan–rescan study. The method’s reproducibility is compared to similar published quantification approaches. The application to clinical patient data is presented by comparing the cord cross-sections of a group of multiple sclerosis patients with those of a matched control group,
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Rafael L. Rodríguez,Flavia Barbosae theory. The framework was applied to segment 50 lumbar vertebrae from 3D computed tomography images, and the resulting symmetric surface distance of . and Dice coefficient of . indicate that accurate segmentation can be obtained by the described framework. Moreover, when compared to the complete g
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Representational Practices in VMT DDD for lumbar spine. We design a classifier to automatically detect degenerated disc (also clinically known as Herniation) using shape potentials. We extract these shape potentials by jointly applying an active shape model (ASM) and a gradient vector flow snake model (GVF-snake). The ASM roughly s
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