000 04592nam a22005055i 4500
001 978-3-319-12508-4
003 DE-He213
005 20200421112544.0
007 cr nn 008mamaa
008 141217s2015 gw | s |||| 0|eng d
020 _a9783319125084
_9978-3-319-12508-4
024 7 _a10.1007/978-3-319-12508-4
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC009000
_2bisacsh
082 0 4 _a610.28
_223
245 1 0 _aSpinal Imaging and Image Analysis
_h[electronic resource] /
_cedited by Shuo Li, Jianhua Yao.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aX, 508 p. 261 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computational Vision and Biomechanics,
_x2212-9391 ;
_v18
505 0 _aPreface -- Clinical Imaging and Applications -- Imaging of the Spine: A Medical and Physical Perspective, by Joseph Burns -- Arthritis of the Spine, by Runsheng Wang, Michael Ward -- Osteoporosis, by Thomas Baum et al. -- Image Processing -- Computer aided detection of bone metastases in the thoracolumbar spine, by Jianhua Yao -- Quantitative Monitoring of Bone Formation in Ankylosing Spondylitis Using Computed Tomography, by Sovira Tan -- Three-dimensional Spine Reconstruction from Radiographs, by Samuel Kadoury -- Vertebral Column Localization, Segmentation, and Labeling, by V. Chaudhary -- Automated Determination of the Spine-Based Coordinate System for an Efficient Cross-Sectional Visualization of 3D Spine Images, by Tomaz Vrtovec -- Cross-Modality Vertebrae Localization and Labeling using Learning-Based Approaches, by Yiqiang Zhan, Bing Jian, Maneesh Dewan, Xiang Sean Zhou -- Articulated Statistical Shape Models of the Spine, by J. Boisvert -- Reconstruction of 3D Vertebral Model from A Single 2D Lateral Fluoroscopic Image, by Guoyan Zheng and Lutz-P. Nolte -- Graphical Model-based Vertebral Identification from X-ray Images, by Xiao Dong and Guoyan Zheng -- Model-Based Segmentation, Reconstruction and Analysis of the Vertebral Body from Spinal CT, by Melih Aslan, Ahmed Shalaby, Asem Ali, and Aly A. Farag -- Image Guided Spine Intervention -- Toward Virtual Modeling and Templating for Enhanced Spine Surgery Planning, by Cristian Linte, David Holmes -- Automated Determination of the Spine-Based Coordinate System for an Efficient Cross-Sectional Visualization of 3D Spine Images, by Tamas Ungi, Andras Lasso, Gabor Fitchinger -- Robotic Assistance and Intervention in Spine Surgery, by Rajesh Kumar -- Index.
520 _aThis book is instrumental to building a bridge between scientists and clinicians in the field of spine imaging by introducing state-of-the-art computational methods in the context of clinical applications.  Spine imaging via computed tomography, magnetic resonance imaging, and other radiologic imaging modalities, is essential for noninvasively visualizing and assessing spinal pathology. Computational methods support and enhance the physician's ability to utilize these imaging techniques for diagnosis, non-invasive treatment, and intervention in clinical practice. Chapters cover a broad range of topics encompassing radiological imaging modalities, clinical imaging applications for common spine diseases, image processing, computer-aided diagnosis, quantitative analysis, data reconstruction and visualization, statistical modeling, image-guided spine intervention, and robotic surgery. This volume serves a broad audience as  contributions were written by both clinicians and researchers, which reflects the intended readership as well, being a potentially comprehensive book for all spine related clinicians, technicians, scientists, and graduate students.
650 0 _aEngineering.
650 0 _aRadiology.
650 0 _aImage processing.
650 0 _aBiomedical engineering.
650 1 4 _aEngineering.
650 2 4 _aBiomedical Engineering.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aImaging / Radiology.
700 1 _aLi, Shuo.
_eeditor.
700 1 _aYao, Jianhua.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319125077
830 0 _aLecture Notes in Computational Vision and Biomechanics,
_x2212-9391 ;
_v18
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-12508-4
912 _aZDB-2-ENG
942 _cEBK
999 _c58467
_d58467