By Nicolas Guizard, Vladimir S. Fonov, Daniel García-Lorenzo, Bérengère Aubert-Broche (auth.), Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer (eds.)

ISBN-10: 3642335551

ISBN-13: 9783642335556

This ebook constitutes the refereed complaints of the second one overseas Workshop on Spatio-temporal photograph research for Longitudinal and Time-Series photograph info, STIA 2012, held at the side of MICCAI 2012 in great, France, in October 2012. The thirteen papers awarded during this quantity have been conscientiously reviewed and chosen from 22 submissions. they're prepared in topical sections named: longitudinal registration and shipping; spatio-temporal research for shapes; spatio-temporal research below visual appeal adjustments; and spatio-temporal research for biology.

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Extra resources for 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

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Coronal sections of the T2-weighted images were manually annotated by trained experts. Manual annotation took approximately 30 hours per scan and results were verified by three neonatologists with at least seven years experience in reading neonatal MRI. Algorithms were implemented in MATLAB (R2011a) with the Signal Processing Toolbox. 27 GHz on a 64-bit Windows 7 workstation with 16 GB RAM. As was previously stated, we seek to compute realistic deformation fields that will be used to investigate and develop clinically relevant morphometric indices of sulcal maturation.

In: Proc. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, MICCAI 2010 Workshop (2010) 14. : A groupwise mutual information metric for cost efficient selection of a suitable reference in cardiac computational atlas construction. In: Proc. SPIE International Conference on Medical Imaging, p. 76231R (2010) 15. : Cross-sectional analysis of anatomical shape change over time via statistics on 4D within-subject flows. In: Proc. Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, MICCAI 2010 Workshop (2010) 16.

The comparison of the Lagrangian and hybrid-Eulerian frameworks to the Eulerian one is illustrated in Fig. 4, which represents the voxel-wise difference of the velocity and norm of the covariance maps for these frameworks. As the reorientation action consists of local rotation only (finite strain), one would expect radial/longitudinal velocities to remain radial/longitudinal with the Lagrangian and Eulerian frameworks. Little difference is observed in the Which Reorientation for Comparing Cardiac Motion Sequences?

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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 by Nicolas Guizard, Vladimir S. Fonov, Daniel García-Lorenzo, Bérengère Aubert-Broche (auth.), Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer (eds.)


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