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Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions

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Cover of 'Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions'

Table of Contents

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    Book Overview
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    Chapter 1 Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions
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    Chapter 2 Real-Time Marker-Free Patient Registration and Image-Based Navigation Using Stereovision for Dental Surgery
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    Chapter 3 Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixture Model
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    Chapter 4 Automatic and Real-Time Identification of Breathing Pattern from Ultrasound Liver Images
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    Chapter 5 Simultaneous Tracking, 3D Reconstruction and Deforming Point Detection for Stereoscope Guided Surgery
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    Chapter 6 Hybrid Multimodal Deformable Registration with a Data-Driven Deformation Prior
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    Chapter 7 Planning of Middle Hepatic Vein-Guided Hemihepatectomy: Resection Pathway Construction and Optimization
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    Chapter 8 Cascaded Shape Regression for Automatic Prostate Segmentation from Extracorporeal Ultrasound Images
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    Chapter 9 Evaluation of Endoscopic Image Enhancement for Feature Tracking: A New Validation Framework
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    Chapter 10 Intensity-Based 3D-2D Mesh-to-Image Registration Using Mesh-Based Digitally Reconstructed Radiography
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    Chapter 11 Toward Accurate and Robust 2-D/3-D Registration of Implant Models to Single-Plane Fluoroscopy
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    Chapter 12 Ultrasound Image-Guided Mapping of Endoscopic Views on a 3D Placenta Model: A Tracker-Less Approach
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    Chapter 13 An Augmented Reality Approach for Initializing 2D/3D Registration
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    Chapter 14 Surface Reconstruction from Tracked Endoscopic Video Using the Structure from Motion Approach
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    Chapter 15 Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions
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    Chapter 16 A Bayesian Approach for Construction of Sparse Statistical Shape Models Using Dirichlet Distribution
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    Chapter 17 Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images
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    Chapter 18 Realtime Wide-Baseline Registration of the Uterus in Laparoscopic Videos Using Multiple Texture Maps
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    Chapter 19 3D Robotic Catheter Shape Reconstruction and Localisation Using Appearance Priors and Adaptive C-Arm Positioning
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    Chapter 20 Uncertainty-Encoded Augmented Reality for Robot-Assisted Partial Nephrectomy: A Phantom Study
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    Chapter 21 Quantized Local Edge Distribution: A Descriptor for B-mode Ultrasound Images
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    Chapter 22 Registration of Preoperative Liver Model for Laparoscopic Surgery from Intraoperative 3D Acquisition
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    Chapter 23 Volume Visualization for Neurovascular Augmented Reality Surgery
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    Chapter 24 Reinforcement Learning Based Model Selection and Parameter Estimation for Pharmacokinetic Analysis in Drug Selection
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    Chapter 25 Delineating 3D Angiogenic Sprouting in OCT Images via Multiple Active Contours
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    Chapter 26 Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions
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    Chapter 27 Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration
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    Chapter 28 Calibration and Stereo Tracking of a Laparoscopic Ultrasound Transducer for Augmented Reality in Surgery
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    Chapter 29 Evaluation of Multiple Voxel-Based Morphometry Approaches and Applications in the Analysis of White Matter Changes in Temporal Lobe Epilepsy
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Title
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions
Published by
Springer Berlin Heidelberg, September 2013
DOI 10.1007/978-3-642-40843-4
ISBNs
978-3-64-240842-7, 978-3-64-240843-4
Editors

Liao, Hongen, Linte, Cristian A., Masamune, Ken, Peters, Terry M., Zheng, Guoyan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 4%
Germany 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 35%
Researcher 5 22%
Student > Master 4 17%
Student > Doctoral Student 2 9%
Student > Bachelor 1 4%
Other 1 4%
Unknown 2 9%
Readers by discipline Count As %
Computer Science 8 35%
Engineering 6 26%
Medicine and Dentistry 4 17%
Business, Management and Accounting 1 4%
Unknown 4 17%