The high complexity of various inverse problems poses a significant challenge to model-
based reconstruction schemes, which in such situations often reach their limits. At the same …

Robustness and stability of image-reconstruction algorithms have recently come under
scrutiny. Their importance to medical imaging cannot be overstated. We review the known …

Abstract x-ray computed tomography (CT) has been widely used in clinical diagnosis as a
modality of medical imaging. To decrease the radiation dose patients suffering from, sparse …

We propose a variational regularisation approach for the problem of template-based image
reconstruction from indirect, noisy measurements as given, for instance, in X-ray computed …

The paper describes a method for reconstructing an image from noisy and indirect
observations by registering, via metamorphosis, a template. The image registration part …

Continuous image morphing is a classical task in image processing. The metamorphosis
model proposed by Trouvé, Younes, and coworkers [MI Miller and L. Younes, Int. J. Comput …

The reconstruction of images from measured data is an increasing field of research. For
highly under-determined problems, template-based image reconstruction provides a way of …

This article presents a method to incorporate a deformation prior in image reconstruction via
the formalism of deformation modules. The framework of deformation modules allows to …

This paper investigates a variational model for splines in the image metamorphosis model
for the smooth interpolation of key frames in the space of images. The Riemannian manifold …

Robustness and stability of image-reconstruction algorithms have recently come under
scrutiny. Their importance to medical imaging cannot be overstated. We review the known …