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Spinal imaging and image analysis

Li, Shuo.

Spinal imaging and image analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spinal imaging and image analysisedited by Shuo Li, Jianhua Yao.
other author:	Li, Shuo.
Published:	Cham :Springer International Publishing :2015.
Description:	x, 508 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	SpineImaging.
Online resource:	http://dx.doi.org/10.1007/978-3-319-12508-4
ISBN:	9783319125084 (electronic bk.)

Spinal imaging and image analysis
Spinal imaging and image analysis[electronic resource] /edited by Shuo Li, Jianhua Yao. - Cham :Springer International Publishing :2015. - x, 508 p. :ill., digital ;24 cm. - Lecture notes in computational vision and biomechanics,v.182212-9391 ;. - Lecture notes in computational vision and biomechanics ;1..

Preface -- 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.

This 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.

ISBN: 9783319125084 (electronic bk.)

Standard No.: 10.1007/978-3-319-12508-4doiSubjects--Topical Terms:

347797
Spine
--Imaging.

LC Class. No.: RD768

Dewey Class. No.: 616.730754

Spinal imaging and image analysis
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245 0 0 $a Spinal imaging and image analysis $h [electronic resource] / $c edited by Shuo Li, Jianhua Yao.
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505 0 $a Preface -- 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 $a This 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.
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650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Imaging / Radiology. $3 274007
700 1 $a Li, Shuo. $3 677958
700 1 $a Yao, Jianhua. $3 683842
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