Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Durrleman, Stanley (Editor), Fletcher, Tom (Editor), Gerig, Guido (Editor), Niethammer, Marc (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
• Series: Lecture Notes in Computer Science, 7570
• Subjects: Computer science.; Radiology.; Algorithms.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Computer Graphics.; Algorithm Analysis and Problem Complexity.; Imaging / Radiology.

This book constitutes the refereed proceedings of the Second International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, held in conjunction with MICCAI 2012 in Nice, France, in October 2012. The 13 papers presented in this volume were carefully r...

Table of Contents:

• Spatio-temporal Regularization for Longitudinal Registration to an Unbiased 3D Individual Template
• Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer’s Longitudinal Population Analysis
• Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?
• Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration
• A New Framework for Analyzing Structural Volume Changes of Longitudinal Brain MRI Data
• 4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement
• Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy
• Unsupervised Learning of Shape Complexity: Application to Brain Development
• Spatio-temporal Analysis under Appearance Changes Spatial-temporal Pharmacokinetic Model Based Registration of 4D Brain PET Data
• Predicting the Location of Glioma Recurrence after a Resection Surgery
• Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling
• Spatio-temporal Analysis for Biology Motion-Based Segmentation for Cardiomyocyte Characterization
• Multi-temporal Globally-Optimal Dense 3-D Cell Segmentation and Tracking from Multi-photon Time-lapse Movies of Live Tissue Microenvironments.