Computational radiology for orthopaedic interventions [electronic resource] / Guoyan Zheng, Shuo Li, editors.
Zheng, Guoyan, editor.; Li, Shuo, editor.
2016
RD734.5.R33
Available Online

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Title Computational radiology for orthopaedic interventions [electronic resource] / Guoyan Zheng, Shuo Li, editors.
ISBN 9783319234823 (electronic book)
331923482X (electronic book)
9783319234816
DOI https://doi.org/10.1007/978-3-319-23482-3
Published Cham : Springer, [2016]
Copyright ©2016
Language English
Description 1 online resource (viii, 376 pages).
Item Number 10.1007/978-3-319-23482-3 doi
Call Number RD734.5.R33
Dewey Decimal Classification 617.3
Summary This book provides a cohesive overview of the current technological advances in computational radiology, and their applications in orthopaedic interventions. Contributed by the leading researchers in the field, this volume covers not only basic computational radiology techniques such as statistical shape modeling, CT/MRI segmentation, augmented reality and micro-CT image processing, but also the applications of these techniques to various orthopaedic interventional tasks. Details about following important state-of-the-art development are featured: 3D preoperative planning and patient-specific instrumentation for surgical treatment of long-bone deformities, computer assisted diagnosis and planning of periacetabular osteotomy and femoroacetabular impingement, 2D-3D reconstruction-based planning of total hip arthroplasty, image fusion for computer-assisted bone tumor surgery, intra-operative three-dimensional imaging in fracture treatment, augmented reality based orthopaedic interventions and education, medical robotics for musculoskeletal surgery, inertial sensor-based cost-effective surgical navigation, and computer assisted hip resurfacing using patient-specific instrument guides. Edited and authored by leading researchers in the field, this work is an essential reference for biomedical engineers, computer scientists and orthopaedic surgeons to develop or use computational radiology approaches for orthopaedic surgery and interventions.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Added Author Zheng, Guoyan, editor.
Li, Shuo, editor.
Series Lecture notes in computational vision and biomechanics ; v. 23.
Available in Other Form Computational Radiology for Orthopaedic Interventions.
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Preface; Contents; 1 Statistical Shape Modeling of Musculoskeletal Structures and Its Applications; Abstract; 1 Introduction; 2 Statistical Shape Modeling; 2.1 Representation; 2.2 Comparison; 2.3 Statistical Analysis; 2.4 Evaluation; 3 Applications; 3.1 Anatomy Reconstruction; 3.1.1 Example: Knee-Joint Reconstruction from MRI; 3.1.2 Example: 3D Reconstruction from X-ray; 3.2 Reconstructive Surgery; 3.2.1 Example: Mandible Dysplasia; 3.2.2 Example: Craniosynostosis; 3.2.3 Example: Surgical Reconstruction of Complex Fractures in the Midface; 3.3 Population-Based Analysis.

3.3.1 Example: A Large Scale Finite Element Study of Total Knee Replacements3.3.2 Example: Digital Morphometry of Facial Anatomy, from Global to Local Shape Variations; 4 Conclusions; References; 2 Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets; Abstract; 1 Introduction; 2 Methods; 2.1 Data Sets; 2.2 Initialization; 2.3 Lumbar Spine Column Identification; 2.3.1 2D Vertebral Body and Disc Identification; 2.3.2 3D Lumbar Spine Column Modeling; 2.4 3D Disc Segmentation; 2.4.1 Multi-kernel LDDMM Registration; 2.4.2 Disc Segmentation by Diffeomorphic Registration.

3 Experiments4 Conclusions; References; 3 Registration for Orthopaedic Interventions; Abstract; 1 Introduction; 2 Implicit Registration; 2.1 Intraoperative CBCT; 2.2 Patient Specific Templates; 3 3D/3D Registration; 3.1 Point Set to Point Set Registration; 3.2 Intensity Based Registration; 4 2D Projection/3D; 4.1 Algorithm Classification; 4.2 Fiducials and Implants; 4.3 Anatomy Based; 5 Evaluation; 6 Conclusion; References; 4 3D Augmented Reality Based Orthopaedic Interventions; Abstract; 1 Introduction; 2 IV Image Overlay for Orthopaedic Interventions; 2.1 IV Image Rendering and Display.

2.2 IV Image Overlay Devices2.3 3D Spatial Tracking; 3 Patient-3D Image Registration and Visualization Techniques; 3.1 Marker Based Registration; 3.2 Marker-Less Based Registration; 3.3 Assisting Visualization Techniques in High-Accurate Theranostics; 4 Applications of IV Image Overlay in Orthopaedic Interventions; 4.1 IV Image Overlay Based Knee Surgery; 4.2 IV Image Overlay Based Oral Surgery; 4.3 IV Image Overlay Based Spine Surgery; 5 Comparison Between IV Overlay Based MIS and Other Image-Guided Surgery Techniques; 6 Discussion and Conclusion; References.

5 Fully Automatic Segmentation of Hip CT ImagesAbstract; 1 Introduction; 2 Multi-atlas Based Hip CT Segmentation; 2.1 Landmark Detection Based Atlas Initialization and Selection; 2.2 Atlas-Based Segmentation; 3 Graph Optimization Based Hip Joint Construction; 3.1 Problem Formulation; 3.2 Graph Construction for Multi-surface Detection; 4 Experiment and Results; 5 Discussions and Conclusion; References; 6 Quantification of Implant Osseointegration by Means of a Reconstruction Algorithm on Micro-computed Tomography Images; Abstract; 1 Introduction; 1.1 Micro-CT and Artifacts.

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