Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …

We have analyzed the link between the gene regulation and growth during the early stages
of flower development in Arabidopsis. Starting from time-lapse images, we generated a 4D …

Purpose Accurate segmentation of organs‐at‐risks (OAR s) is the key step for efficient
planning of radiation therapy for head and neck (HaN) cancer treatment. In the work, we …

Magnetic resonance (MR) imaging has become a routine modality for the determination of
patient cardiac morphology. The extraction of this information can be important for the …

BACKGROUND AND PURPOSE: Conformal radiation therapy techniques require the
delineation of volumes of interest, a time-consuming and operator-dependent task. In this …

In this article, we focus on the parameterization of non-rigid geometrical deformations with a
small number of flexible degrees of freedom. In previous work, we proposed a general …

Accurate estimation of respiratory motion is essential for many applications in medical 4D
imaging, for example for radiotherapy of thoracic and abdominal tumors. It is usually done by …

BACKGROUND AND PURPOSE: Accurate conformal radiotherapy treatment requires
manual delineation of target volumes and organs at risk (OAR) that is both time-consuming …

This paper presents a fully automated method for atlas-based whole-body segmentation in
non-contrast-enhanced Micro-CT data of mice. The position and posture of mice in such …

Multiple sclerosis diagnosis and patient follow-up can be helped by an evaluation of the
lesion load in MRI sequences. A lot of automatic methods to segment these lesions are …