Normal and abnormal brains can be segmented by registering the target image with an
atlas. Here, an atlas is defined as the combination of an intensity image (template) and its …

Evaluating various algorithms for the inter-subject registration of brain magnetic resonance
images (MRI) is a necessary topic receiving growing attention. Existing studies evaluated …

In this paper, we first propose a new subdivision of the image information axis used for the
classification of nonrigid registration algorithms. Namely, we introduce the notion of iconic …

We propose a method for brain atlas deformation in the presence of large space-occupying
tumors, based on an a priori model of lesion growth that assumes radial expansion of the …

Image registration is central to many challenges in medical imaging today. It has a vast
range of applications. The purpose of this note is twofold. First, we review some of the most …

This paper investigates the problem of atlas registration of brain images with gliomas.
Multiparametric imaging modalities (T1, T1-CE, T2, and FLAIR) are first utilized for …

A deformable registration method is proposed for registering a normal brain atlas with
images of brain tumor patients. The registration is facilitated by first simulating the tumor …

This paper presents a learning-based method for deformable registration of magnetic
resonance (MR) brain images. There are two novelties in the proposed registration method …

Although a variety of diffeomorphic deformable registration methods exist in the literature,
application of these methods in the presence of space-occupying lesions is not …

Survival prediction models can potentially be used to guide treatment of glioblastoma
patients. However, currently available MR imaging biomarkers holding prognostic …