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 …

The proliferation of four-dimensional imaging technologies, increasing computational
speeds, improved simulation algorithms, and the widespread availability of powerful …

Feature selection is a critical step in deformable image registration. In particular, selecting
the most discriminative features that accurately and concisely describe complex …

We propose an efficient non-parametric diffeomorphic image registration algorithm based on
Thirion's demons algorithm. In the first part of this paper, we show that Thirion's demons …

Deformable image registration is a very important field of research in medical imaging.
Recently multiple deep learning approaches were published in this area showing promising …

Establishing accurate anatomical correspondences is critical for medical image registration.
Although many hand-engineered features have been proposed for correspondence …

This paper proposes an original approach for the statistical analysis of longitudinal shape
data. The proposed method allows the characterization of typical growth patterns and …

Background The total-body positron emission tomography (PET) scanner provides an
unprecedented opportunity to scan the whole body simultaneously, thanks to its long axial …

Modeling of respiratory motion has become increasingly important in various applications of
medical imaging (eg, radiation therapy of lung cancer). Current modeling approaches are …

Purpose: The accuracy and convergence behavior of a variant of the Demons deformable
registration algorithm were investigated for use in cone‐beam CT (CBCT)‐guided …