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Titlebook: Biomedical Image Registration; 4th International Wo Bernd Fischer,Beno?t M. Dawant,Cristian Lorenz Conference proceedings 2010 The Editor(s

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樓主: Clique
31#
發(fā)表于 2025-3-26 22:51:48 | 只看該作者
Golo Henseke,Pascal Hetze,Thusnelda Tivig. The presented method has been evaluated on longitudinal T1-weighted MR images of Huntington’s disease subjects and controls. Multiple time point consistency, the Jacobian map homogeneity and statistical power for group separation have been used. Our new method performs better than the . FFD, while keeping similar registration accuracy.
32#
發(fā)表于 2025-3-27 01:49:02 | 只看該作者
Martin Brussig,Christina Wübbekes our results demonstrate, our approach yielded higher registration accuracy than non-adaptive approaches and the proposed reliability measure performed robustly even in the presences of noise and intensity inhomogenity.
33#
發(fā)表于 2025-3-27 05:32:59 | 只看該作者
Registration of 3D Retinal Optical Coherence Tomography Data and 2D Fundus Imagese to changing spatial image properties. Three-parametric spatial transformation (shift and scale) for each OCT scan and exhaustive search is used in this preliminarily work. The achieved results are presented on several examples.
34#
發(fā)表于 2025-3-27 13:25:28 | 只看該作者
Functional Non-rigid Registration Validation: A CT Phantom Studyn patterns as they occur for CT lung data are analyzed. Motivated by the relation of Hounsfield value and local volume change, local stiffness is incorporated into registration such that an improved functional lung analysis is achieved.
35#
發(fā)表于 2025-3-27 16:36:07 | 只看該作者
Nonlinear Elastic Spline Registration: Evaluation with Longitudinal Huntington’s Disease Data. The presented method has been evaluated on longitudinal T1-weighted MR images of Huntington’s disease subjects and controls. Multiple time point consistency, the Jacobian map homogeneity and statistical power for group separation have been used. Our new method performs better than the . FFD, while keeping similar registration accuracy.
36#
發(fā)表于 2025-3-27 20:06:14 | 只看該作者
Reliability-Driven, Spatially-Adaptive Regularization for Deformable Registrations our results demonstrate, our approach yielded higher registration accuracy than non-adaptive approaches and the proposed reliability measure performed robustly even in the presences of noise and intensity inhomogenity.
37#
發(fā)表于 2025-3-27 23:18:11 | 只看該作者
Continuity Order of Local Displacement in Volumetric Image Sequence a temporal image sequence analysis. Using the fractional order differentiations, we can estimate the orders of local continuities of optical flow vectors. Therefore, we can obtain the optical flow vector with the optimal continuity at each point.
38#
發(fā)表于 2025-3-28 04:35:27 | 只看該作者
Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategiesng into account several scales simultaneously should be used for the registration of complex shapes, such as those treated in medical imaging. We then present our fine and coarse approaches and apply them to the registration of binary images as well as the longitudinal estimation of the early brain growth in preterm MR images.
39#
發(fā)表于 2025-3-28 09:39:32 | 只看該作者
40#
發(fā)表于 2025-3-28 10:48:53 | 只看該作者
Labour Markets and Demographic Changeng into account several scales simultaneously should be used for the registration of complex shapes, such as those treated in medical imaging. We then present our fine and coarse approaches and apply them to the registration of binary images as well as the longitudinal estimation of the early brain growth in preterm MR images.
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