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000751905 019__ $$a921236477$$a931592290$$a932333236
000751905 020__ $$a9783319234823$$q(electronic book)
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000751905 24500 $$aComputational radiology for orthopaedic interventions$$h[electronic resource] /$$cGuoyan Zheng, Shuo Li, editors.
000751905 264_1 $$aCham :$$bSpringer,$$c[2016]
000751905 264_4 $$c©2016
000751905 300__ $$a1 online resource (viii, 376 pages).
000751905 336__ $$atext$$btxt$$2rdacontent
000751905 337__ $$acomputer$$bc$$2rdamedia
000751905 338__ $$aonline resource$$bcr$$2rdacarrier
000751905 4901_ $$aLecture notes in computational vision and biomechanics ;$$vv. 23
000751905 504__ $$aIncludes bibliographical references.
000751905 5050_ $$aPreface; 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.
000751905 5058_ $$a3.3.1 Example: A Large Scale Finite Element Study of Total Knee Replacements3.3.2 Example: Digital Morphometry of Facial Anatomy, from Global to Local Shape Variations; 4 Conclusions; References; 2 Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets; Abstract; 1 Introduction; 2 Methods; 2.1 Data Sets; 2.2 Initialization; 2.3 Lumbar Spine Column Identification; 2.3.1 2D Vertebral Body and Disc Identification; 2.3.2 3D Lumbar Spine Column Modeling; 2.4 3D Disc Segmentation; 2.4.1 Multi-kernel LDDMM Registration; 2.4.2 Disc Segmentation by Diffeomorphic Registration.
000751905 5058_ $$a3 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.
000751905 5058_ $$a2.2 IV Image Overlay Devices2.3 3D Spatial Tracking; 3 Patient-3D Image Registration and Visualization Techniques; 3.1 Marker Based Registration; 3.2 Marker-Less Based Registration; 3.3 Assisting Visualization Techniques in High-Accurate Theranostics; 4 Applications of IV Image Overlay in Orthopaedic Interventions; 4.1 IV Image Overlay Based Knee Surgery; 4.2 IV Image Overlay Based Oral Surgery; 4.3 IV Image Overlay Based Spine Surgery; 5 Comparison Between IV Overlay Based MIS and Other Image-Guided Surgery Techniques; 6 Discussion and Conclusion; References.
000751905 5058_ $$a5 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.
000751905 506__ $$aAccess limited to authorized users.
000751905 520__ $$aThis 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.
000751905 650_0 $$aRadiography in orthopedics.
000751905 650_0 $$aDiagnostic imaging$$xMathematics.
000751905 7001_ $$aZheng, Guoyan,$$eeditor.
000751905 7001_ $$aLi, Shuo,$$eeditor.
000751905 77608 $$iPrint version:$$aZheng, Guoyan.$$tComputational Radiology for Orthopaedic Interventions.$$dCham : Springer International Publishing, ©2015$$z9783319234816
000751905 830_0 $$aLecture notes in computational vision and biomechanics ;$$vv. 23.
000751905 852__ $$bebk
000751905 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-23482-3$$zOnline Access$$91397441.1
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