New medical imaging modalities offering multi-valued data, such as phase contrast MRA
and diffusion tensor MRI, require general representations for the development of automated …

Tensors have been broadly used in mathematics and physics, since they are a
generalization of scalars or vectors and allow to represent more complex properties. In this …

This paper presents the first performance evaluation of interest points on scalar volumetric
data. Such data encodes 3D shape, a fundamental property of objects. The use of another …

To successfully detect and diagnose disease, it is vital for medical diagnosticians to properly
apply the latest medical imaging technologies. It is a worrisome reality that due to either the …

In this paper we describe a method for registering human hand radiographs (templates) onto
a target radiograph for automatic bone age assessment. The method itself constitutes a …

This paper presents a novel technique for detection of point landmarks in volumetric medical
images based on a three-dimensional (3D) Phase Congruency (PC) model. A bank of 3D …

The existing differential approaches for localization of 3-D anatomic point landmarks in 3-D
images are sensitive to noise and usually extract numerous spurious landmarks. The …

We present a novel approach to nonrigid registration of volumetric multimodal medical data.
We propose a new regularized template matching scheme, where arbitrary similarity …

In this paper we propose a new method of elastic registration of anatomical structures that
bears an inner skeleton, such as the knee, hand or spine. Such a method has to deal with …

In this chapter, we introduce the problem of registering diffusion tensor magnetic resonance
(DT-MR) images. The registration task for these images is made challenging by the …