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Über dieses Buch

This book constitutes the refereed proceedings of the 4th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.


The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. They aim at reviewing the state-of-the-art techniques, sharing the novel and emerging analysis and visualization techniques and discussing the clinical challenges and open problems in this rapidly growing field - including all major aspects of problems related to spine imaging, including clinical applications of spine imaging, computer aided diagnosis of spine conditions, computer aided detection of spine-related diseases, emerging computational imaging techniques for spinal diseases, fast 3D reconstruction of spine, feature extraction, multiscale analysis, pattern recognition, image enhancement of spine imaging, image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging, novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and vertebra, spine and vertebra localization.

Inhaltsverzeichnis

Frontmatter

Segmentation

Frontmatter

2016 | OriginalPaper | Buchkapitel

Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae

S. M. Masudur Rahman Al Arif, Michael Gundry, Karen Knapp, Greg Slabaugh

2016 | OriginalPaper | Buchkapitel

Machine Learning Based Bone Segmentation in Ultrasound

Nora Baka, Sieger Leenstra, Theo van Walsum

2016 | OriginalPaper | Buchkapitel

Variational Segmentation of the White and Gray Matter in the Spinal Cord Using a Shape Prior

Antal Horváth, Simon Pezold, Matthias Weigel, Katrin Parmar, Oliver Bieri, Philippe Cattin

2016 | OriginalPaper | Buchkapitel

Automated Intervertebral Disc Segmentation Using Deep Convolutional Neural Networks

Xing Ji, Guoyan Zheng, Daniel Belavy, Dong Ni

Localization

Frontmatter

2016 | OriginalPaper | Buchkapitel

Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting

Paul A. Bromiley, Eleni P. Kariki, Judith E. Adams, Timothy F. Cootes

2016 | OriginalPaper | Buchkapitel

Global Localization and Orientation of the Cervical Spine in X-ray Images

S. M. Masudur Rahman Al Arif, Michael Gundry, Karen Knapp, Greg Slabaugh

2016 | OriginalPaper | Buchkapitel

Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion

Mattias P. Heinrich, Ozan Oktay

2016 | OriginalPaper | Buchkapitel

Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation

Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng

2016 | OriginalPaper | Buchkapitel

Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Images by Regression Forest and CNN

Xing Ji, Guoyan Zheng, Li Liu, Dong Ni

Computer Aided Diagnosis and Intervention

Frontmatter

2016 | OriginalPaper | Buchkapitel

Manual and Computer-Assisted Pedicle Screw Placement Plans: A Quantitative Comparison

Dejan Knez, Janez Mohar, Robert J. Cirman, Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec

2016 | OriginalPaper | Buchkapitel

Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks

Yinong Wang, Jianhua Yao, Joseph E. Burns, Jiamin Liu, Ronald M. Summers

2016 | OriginalPaper | Buchkapitel

Reconstruction of 3D Lumvar Vertebra from Two X-ray Images Based on 2D/3D Registration

Longwei Fang, Zuowei Wang, Zhiqiang Chen, Fengzeng Jian, Huiguang He

2016 | OriginalPaper | Buchkapitel

Classification of Progressive and Non-progressive Scoliosis Patients Using Discriminant Manifolds

William Mandel, Robert Korez, Marie-Lyne Nault, Stefan Parent, Samuel Kadoury

Backmatter

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