Computational radiology for orthopaedic interventions. ([2016])
- Record Type:
- Book
- Title:
- Computational radiology for orthopaedic interventions. ([2016])
- Main Title:
- Computational radiology for orthopaedic interventions
- Further Information:
- Note: Guoyan Zheng, Shuo Li, editors.
- Editors:
- Zheng, Guoyan
Li, Shuo - Contents:
- 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 AlgorithmPreface; 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. … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2016
- Copyright Date:
- 2016
- Extent:
- 1 online resource (viii, 376 pages)
- Subjects:
- 617.3
Engineering
Radiography in orthopedics
Diagnostic imaging -- Mathematics
MEDICAL -- Surgery -- General
Diagnostic imaging -- Mathematics
Radiography in orthopedics
Bone Diseases -- diagnosis
Bone and Bones -- diagnostic imaging
Diagnostic Imaging -- methods
Engineering
Biomedical Engineering
Imaging / Radiology
Signal, Image and Speech Processing
Mathematics, general
Medical and Radiation Physics
Medical -- Biochemistry
Technology & Engineering -- Electronics -- General
Mathematics -- General
Science -- Radiation
Radiology
Imaging systems & technology
Mathematics
Medical physics
Biomedical engineering
Radiology, Medical
Mathematics
Medical physics
Technology & Engineering -- Engineering (General)
Biomedical engineering
Electronic books - Languages:
- English
- ISBNs:
- 9783319234823
3319234811
9783319234816 - Related ISBNs:
- 331923482X
9783319234816 - Notes:
- Note: Includes bibliographical references.
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