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Computational Radiology for Orthopaedic Interventions

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Cover of 'Computational Radiology for Orthopaedic Interventions'

Table of Contents

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    Book Overview
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    Chapter 1 Statistical Shape Modeling of Musculoskeletal Structures and Its Applications
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    Chapter 2 Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets
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    Chapter 3 Registration for Orthopaedic Interventions
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    Chapter 4 3D Augmented Reality Based Orthopaedic Interventions
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    Chapter 5 Fully Automatic Segmentation of Hip CT Images
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    Chapter 6 Quantification of Implant Osseointegration by Means of a Reconstruction Algorithm on Micro-computed Tomography Images
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    Chapter 7 Surgical Treatment of Long-Bone Deformities: 3D Preoperative Planning and Patient-Specific Instrumentation
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    Chapter 8 Preoperative Planning of Periacetabular Osteotomy (PAO)
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    Chapter 9 Computer Assisted Diagnosis and Treatment Planning of Femoroacetabular Impingement (FAI)
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    Chapter 10 2D-3D Reconstruction-Based Planning of Total Hip Arthroplasty
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    Chapter 11 Image Fusion for Computer-Assisted Bone Tumor Surgery
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    Chapter 12 Intraoperative Three-Dimensional Imaging in Fracture Treatment with a Mobile C-Arm
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    Chapter 13 Augmented Reality in Orthopaedic Interventions and Education
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    Chapter 14 State of the Art of Ultrasound-Based Registration in Computer Assisted Orthopedic Interventions
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    Chapter 15 Medical Robotics for Musculoskeletal Surgery
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    Chapter 16 A Cost-Effective Surgical Navigation Solution for Periacetabular Osteotomy (PAO) Surgery
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    Chapter 17 Computer Assisted Hip Resurfacing Using Patient-Specific Instrument Guides
Overall attention for this book and its chapters
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Title
Computational Radiology for Orthopaedic Interventions
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-23482-3
ISBNs
978-3-31-923481-6, 978-3-31-923482-3
Editors

Guoyan Zheng, Shuo Li

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 28%
Researcher 8 22%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Student > Doctoral Student 3 8%
Other 8 22%
Readers by discipline Count As %
Engineering 13 36%
Computer Science 9 25%
Medicine and Dentistry 6 17%
Social Sciences 2 6%
Unspecified 1 3%
Other 3 8%
Unknown 2 6%