Patch-Based Techniques in Medical Imaging: Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

✍ Scribed by Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert (eds.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 151
• Series: Lecture Notes in Computer Science 9993
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the Second International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2016, which was held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.

The 17 regular papers presented in this volume were carefully reviewed and selected from 25 submissions.

The main aim of the Patch-MI 2016 workshop is to promote methodological advances within the medical imaging field, with various applications in image segmentation, image denoising, image super-resolution, computer-aided diagnosis, image registration, abnormality detection, and image synthesis.

✦ Table of Contents

Front Matter....Pages I-X
Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning....Pages 1-8
Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency....Pages 9-16
Selective Labeling: Identifying Representative Sub-volumes for Interactive Segmentation....Pages 17-24
Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative....Pages 25-33
Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation....Pages 34-42
Sparse-Based Morphometry: Principle and Application to Alzheimer’s Disease....Pages 43-50
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning....Pages 51-59
Patch-Based Discrete Registration of Clinical Brain Images....Pages 60-67
Non-local MRI Library-Based Super-Resolution: Application to Hippocampus Subfield Segmentation....Pages 68-75
Patch-Based DTI Grading: Application to Alzheimer’s Disease Classification....Pages 76-83
Hierarchical Multi-Atlas Segmentation Using Label-Specific Embeddings, Target-Specific Templates and Patch Refinement....Pages 84-91
HIST: HyperIntensity Segmentation Tool....Pages 92-99
Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-atlas Segmentation....Pages 100-108
CapAIBL: Automated Reporting of Cortical PET Quantification Without Need of MRI on Brain Surface Using a Patch-Based Method....Pages 109-116
High Resolution Hippocampus Subfield Segmentation Using Multispectral Multiatlas Patch-Based Label Fusion....Pages 117-124
Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks....Pages 125-132
Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models....Pages 133-140
Back Matter....Pages 141-141

✦ Subjects

Image Processing and Computer Vision;Pattern Recognition;Computer Graphics;Artificial Intelligence (incl. Robotics);Simulation and Modeling;Algorithm Analysis and Problem Complexity