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 / edited by Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer.

Format:

Book

Contributor:

Durrleman, Stanley, editor.

Fletcher, Tom (Computer scientist), editor.

Gerig, Guido, editor.

Niethammer, Marc, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 7570.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 7570

Language:

English

Subjects (All):

Optical data processing.

Pattern perception.

Artificial intelligence.

Computer graphics.

Algorithms.

Radiology.

Image Processing and Computer Vision.

Pattern Recognition.

Artificial Intelligence.

Computer Graphics.

Algorithm Analysis and Problem Complexity.

Imaging / Radiology.

Local Subjects:

Image Processing and Computer Vision.

Pattern Recognition.

Artificial Intelligence.

Computer Graphics.

Algorithm Analysis and Problem Complexity.

Imaging / Radiology.

Physical Description:

1 online resource (X, 163 pages) : 73 illustrations.

Edition:

First edition 2012.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.

System Details:

text file PDF

Summary:

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 reviewed and selected from 22 submissions. They are organized in topical sections named: longitudinal registration and transport; spatio-temporal analysis for shapes; spatio-temporal analysis under appearance changes; and spatio-temporal analysis for biology.

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.

Other Format:

Printed edition:

ISBN:

978-3-642-33555-6

9783642335556

Access Restriction:

Restricted for use by site license.