In this paper, we develop data driven registration algorithms, relying on robust pixel similarity metrics, that enable an accurate (subpixel) rigid registration of dissimilar single and multimodal 2D/3D images. A “soft redescending” estimator is associated to a top down stochatic multigrid relaxation algorithm in order to obtain robust, data driven multimodal image registrations. With the stoch...

ABSTRACT: A medical image fusion is a very powerful tool in clinical applications. The main idea of this project is to collect the most relevant information from the input images into single output image, which play an essential role in medical diagnosis. A fusion framework is proposed for multimodal medical images based on non-sub sampled contourlet transform (NSCT). The input images are first...

This chapter describes a semantic dialogue system for radiologists in a comprehensive case study within the large-scale MEDICO project. MEDICO addresses the need for advanced semantic technologies in the search for medical image and patient data. The objectives are, first, to enable a seamless integration of medical images and different user applications by providing direct access to image sema...

Multimodal medical imaging (MMI) volumes can be derived by spatial correlating intensity distributions from a number of different diagnostic volumes with complementary information. An unsupervised approach to MMI volumes segmentation is recommended by many authors. Due to complexity of the data structure, this kind of segmentation is a very challenging task, whose main step is clustering in a m...

Quantitative measurements of changes in evolving brain pathology, such as multiple sclerosis lesions and brain tumors, are important for clinicians to perform pertinent diagnoses and to help in patient follow-up. Lesions or tumors can vary over time in size, shape, location and composition because of natural pathological processes or the effect of a drug treatment or therapy. In the past, peopl...

Accurate medical diagnosis based on images acquired with various medical imaging techniques commonly requires multiple images inspection. These images can be obtained using the same scanning technique but with different scanning parameters. Alternatively, the physicians can use images obtained with different scanning equipments. The visualization of multimodal data in the same rendering scene c...

In medical research and practice, imaging is now playing a crucial role. With rapidly developing molecular imaging, the role of in vivo imaging is expected to expand much more. In molecular imaging, one of the recent trends is multimodal imaging, which theoretically combines all the strengths of each imaging modality and consequently provides synergism. For this, many multimodal imaging probes ...