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Information Processing in Computer-Assisted Interventions

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Cover of 'Information Processing in Computer-Assisted Interventions'

Table of Contents

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    Book Overview
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    Chapter 1 2D-3D Pose Tracking of Rigid Instruments in Minimally Invasive Surgery
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    Chapter 2 Robust Real-Time Visual Odometry for Stereo Endoscopy Using Dense Quadrifocal Tracking
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    Chapter 3 Comparative Assessment of a Novel Optical Human-Machine Interface for Laparoscopic Telesurgery
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    Chapter 4 Modelling and Control of an ERF-Based Needle Insertion Training Platform
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    Chapter 5 Intraoperative Cone Beam CT Guidance for Transoral Robotic Surgery
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    Chapter 6 Robotic Device for Acquisition of Wide and High Resolution MRI Image Using a Small RF Coil
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    Chapter 7 Building Surrogate-Driven Motion Models from Cone-Beam CT via Surrogate-Correlated Optical Flow
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    Chapter 8 Vascular 3D+T Freehand Ultrasound Using Correlation of Doppler and Pulse-Oximetry Data
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    Chapter 9 Semi-automated Quantification of Fibrous Cap Thickness in Intracoronary Optical Coherence Tomography
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    Chapter 10 A System for Ultrasound-Guided Spinal Injections: A Feasibility Study
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    Chapter 11 The ‘Augmented’ Circles: A Video-Guided Solution for the Down-the-Beam Positioning of IM Nail Holes
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    Chapter 12 CT to US Registration of the Lumbar Spine: A Clinical Feasibility Study
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    Chapter 13 A computer assisted planning system for the placement of sEEG electrodes in the treatment of epilepsy
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    Chapter 14 Articulated Statistical Shape Model-Based 2D-3D Reconstruction of a Hip Joint
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    Chapter 15 Pairwise Comparison-Based Objective Score for Automated Skill Assessment of Segments in a Surgical Task
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    Chapter 16 Random Forests for Phase Detection in Surgical Workflow Analysis
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    Chapter 17 Knowledge-Driven Formalization of Laparoscopic Surgeries for Rule-Based Intraoperative Context-Aware Assistance
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    Chapter 18 Temporally Consistent 3D Pose Estimation in the Interventional Room Using Discrete MRF Optimization over RGBD Sequences
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    Chapter 19 Relevance-Based Visualization to Improve Surgeon Perception
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    Chapter 20 Towards Better Laparoscopic Video Database Organization by Automatic Surgery Classification
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    Chapter 21 Model-Based Identification of Anatomical Boundary Conditions in Living Tissues
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    Chapter 22 Fast Semi-dense Surface Reconstruction from Stereoscopic Video in Laparoscopic Surgery
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    Chapter 23 Deblurring Multispectral Laparoscopic Images
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    Chapter 24 Simulated field maps: Toward improved susceptibility artefact correction in interventional MRI
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    Chapter 25 Orientation-Driven Ultrasound Compounding Using Uncertainty Information
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    Chapter 26 2D/3D Catheter-Based Registration for Image Guidance in TACE of Liver Tumors
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    Chapter 27 Filter-Based Speckle Tracking for Freehand Prostate Biopsy: Theory, ex vivo and in vivo Results
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    Chapter 28 Efficient Tissue Discrimination during Surgical Interventions Using Hyperspectral Imaging
Attention for Chapter 12: CT to US Registration of the Lumbar Spine: A Clinical Feasibility Study
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Chapter title
CT to US Registration of the Lumbar Spine: A Clinical Feasibility Study
Chapter number 12
Book title
Information Processing in Computer-Assisted Interventions
Published by
Springer, Cham, June 2014
DOI 10.1007/978-3-319-07521-1_12
Book ISBNs
978-3-31-907520-4, 978-3-31-907521-1
Authors

Simrin Nagpal, Purang Abolmaesumi, Abtin Rasoulian, Tamas Ungi, Ilker Hacihaliloglu, Jill Osborn, Dan P. Borschneck, Victoria A. Lessoway, Robert N. Rohling, Parvin Mousavi, Nagpal, Simrin, Abolmaesumi, Purang, Rasoulian, Abtin, Ungi, Tamas, Hacihaliloglu, Ilker, Osborn, Jill, Borschneck, Dan P., Lessoway, Victoria A., Rohling, Robert N., Mousavi, Parvin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 46%
Researcher 4 31%
Student > Ph. D. Student 2 15%
Other 1 8%
Readers by discipline Count As %
Engineering 8 62%
Medicine and Dentistry 2 15%
Computer Science 1 8%
Physics and Astronomy 1 8%
Unknown 1 8%