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
Erschienen am 23. August 2012
Buch
Softcover
X, 163 Seiten
978-3-642-33554-9 (ISBN)
Beschreibung
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.
Weitere Details
Reihe
Auflage
2012 ed.
Sprache
Englisch
Verlagsort
Berlin
Deutschland
Verlagsgruppe
Springer Berlin
Zielgruppe
Für Beruf und Forschung
Research
Illustrationen
73 s/w Abbildungen
X, 163 p. 73 illus.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 10 mm
Gewicht
277 gr
ISBN-13
978-3-642-33554-9 (9783642335549)
DOI
10.1007/978-3-642-33555-6
Schweitzer Klassifikation
Weitere Ausgaben
Andere Ausgaben
Stanley Durrleman | Tom Fletcher | Guido Gerig
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
E-Book
09/2012
Springer
48,14 €
Als Download verfügbar
Inhalt
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.