A 2D-to-3D non-rigid intensity-based registration method is proposed. This planar-to-curved-surface image alignment algorithm matches experimental data of

A 2D-to-3D non-rigid intensity-based registration method is proposed. This planar-to-curved-surface image alignment algorithm matches experimental data of ...

Abstract: A 2D-to-3D non-rigid intensity-based registration method is proposed. This planar-to-curved-surface image alignment algorithm matches experimental ...

A 2-D to 3-D nonlinear intensity-based registration method is proposed in which the alignment of histological brain sections with a volumetric brain atlas ...

Aug 15, 2024 · A 2D-to-3D non-rigid intensity-based registration method is proposed. This planar-to-curved-surface image alignment algorithm matches ...

This PDE-based 2D-to-3D registration technique allows for inter-modality matching of sectional data with a volumetric image of homologous objects. We ...

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In the next section we examine some of the forms of geometrical mapping that are used in registration. We examine in detail the rigid transformations and other.

Apr 1, 2024 · We study parameterisation-independent closed planar curve matching as a Bayesian inverse problem. The motion of the curve is modelled via a ...

Sep 2, 2024 · We propose a hybrid registration framework called HybridRetina, which progressively registers retinal images with global and local deformable transformations.