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
Buch | Softcover
X, 163 Seiten
2012 | 2012
Springer Berlin (Verlag)
978-3-642-33554-9 (ISBN)

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Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data -
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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.

Spatio-temporal Regularization for Longitudinal Registration to anUnbiased 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 NeonatesUsing 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 ConsistentCortical 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.

Erscheint lt. Verlag 23.8.2012
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo X, 163 p. 73 illus.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 275 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Mathematik / Informatik Informatik Software Entwicklung
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Medizin / Pharmazie Medizinische Fachgebiete Radiologie / Bildgebende Verfahren
Schlagworte Algorithm analysis and problem complexity • brain imaging • Hypergraphs • MRI • Predictive Modeling • Statistical Data Analysis
ISBN-10 3-642-33554-3 / 3642335543
ISBN-13 978-3-642-33554-9 / 9783642335549
Zustand Neuware
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