Background and objectives Automatic brain structures segmentation in magnetic resonance
images has been widely investigated in recent years with the goal of hel** diagnosis and …

This manuscript is devoted to variational models, their corresponding Euler–Lagrange
equations and numerical implementations for image processing. Such techniques allow us …

In this paper, we present a new non-parametric combined segmentation and registration
method. The shapes to be registered are implicitly modeled with level set functions and the …

Accurate quantification of the morphology of vessels is important for diagnosis and treatment
of cardiovascular diseases. We introduce a new joint segmentation and registration …

In image-guided diagnosis and treatment of small peripheral lung lesions the alignment of
the pre-procedural lung CT images and the intra-procedural images is an important step to …

Whole brain MRI registration has many useful applications in group analysis and
morphometry, yet accurate registration across different neuropathological groups remains …

We describe an automatic method for fast registration of images with very different
appearances. The images are jointly segmented into a small number of classes, the …

In clinical applications where structural asymmetries between homologous shapes have
been correlated with pathology, the questions of definition and quantification of" asymmetry" …

It is known that image registration is mostly driven by image edges. We have taken this idea
to the extreme. In segmented images, we ignore the interior of the components and focus on …

Image segmentation and registration are two of the most challenging tasks in medical
imaging. They are closely related because both tasks are often required simultaneously. In …