The United States National Institutes of Health (NIH) commit significant support to open-
source data and software resources in order to foment reproducibility in the biomedical …

Functional localization is a concept which involves the application of a sequence of
geometrical and statistical image processing operations in order to define the location of …

This review introduces a novel deformable image registration paradigm that exploits Markov
random field formulation and powerful discrete optimization algorithms. We express …

Deformable registration of images obtained from different modalities remains a challenging
task in medical image analysis. This paper addresses this important problem and proposes …

We have applied automated image analysis methods in the assessment of human kidney
perfusion based on 3D dynamic contrast-enhanced MRI data. This approach consists of non …

We present a framework for robustly estimating registration between a 3D volume image
and a 2D projection image and evaluate its precision and robustness in spine interventions …

Multi-modal deformable registration is important for many medical image analysis tasks such
as atlas alignment, image fusion, and distortion correction. Whereas a conventional method …

This paper presents an original non-rigid image registration approach, which tends to
improve the registration by establishing a symmetric image interdependence. In order to …

The accuracy and robustness of a registration method depend on a number of factors, such
as imaging modality, image content and image degrading effects, the class of spatial …

Registration and fusion of magnetic resonance (MR) and 3D transrectal ultrasound (TRUS)
images of the prostate gland can provide high-quality guidance for prostate interventions …