Examples of biomedical image analysis. At the top a decomposition of a color image of prostate tissue into spectral components as a first step towards automates analysis. In the middle the result of an interactive measurement of shape and volume of the eye-socket in an CT volume image as a step towards treatment planning. Bottom a prototype of a haptic glove which can be used to feel and manipulate virtual objects, here a virtual ball is squeezed to explore its elasticity.
Computerized image analysis is concerned with the extraction of information from images. A toolbox based on knowledge from mathematics, signal processing, computer science and physics is used for this. Applications are found in medicine and many other sectors of society.
Human vision has a remarkable capability to interpret and recognize objects in images. Computers on the other hand are good at counting and measuring. In computerized image analysis, we are aiming to give computers the capability of pattern recognition and to combine that with calculations. Image analysis is today a mature science capable of creating solutions to many problems of practical interest. Methodologically image analysis is truly multidisciplinary. It can be seen as applied mathematics and as multidimensional signal processing. Images are large data matrices so discrete geometry and topology are important theoretical tools to correctly interpret these. The methods are implemented as computer programs so computer science is important. Knowledge about image properties from physics and optics is often essential. The solution of many practical problems require application-specific expertise, so many projects are carried out in collaboration with other experts. Computer graphics and visualization can be seen as the inverse of image analysis; images are created rather than analysed. But visualization is often needed when working with images, particularly when the images show the 3D interior of objects, such as is the case with medical tomographic images. Stereoscopic display techniques combined with haptic interaction provide powerful tools for exploration of 3D images. At the Centre for Image Analysis, we are combining basic research on algorithms for image analysis and visualization with application-oriented methods development particularly in the field of biomedicine. We are mainly interested in volume images, multispectral images and image sequences. We are also developing methods for interaction with image volumes using haptics. In that field, we have close collaboration with research in man-machine interaction in our division of the Department of Information Technology. Examples of current projects are the recognition of viruses in electron microscopic images, the study of the fibre structure in paper and composite materials, analysis of the 3D chromatine structure in cell nuclei, detection and quantiative analysis of signals from individual molecules in fluorescence microscopy images of cells, microscopic tomography of zebrafish embryos, measuring of the eye-socket in CT images, development of a haptic glove through which you can feel and manipulate virtual objects.
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Departments:Centre for Image Analysis
Department of Information Technology
Partners:Department of Information Technology
Department of Mathematics
Department of Genetics and Pathology
Science for Life Laboratory
Department of Surgical Sciences
Department of Radiology, Oncology and Radiation Science
Education:The following undergraduate programs at Uppsala University
are related to this research
» Master of Science programme in Engineering Physics
» Master of Science programme in Information Technology Engineering
» Master of Science programme in Molecular Biotechnology Engineering
» Master programme in Mathematics
» Master programme in Computer Science
» Master programme in Applied Biotechnology
» Master programme in Human-Computer Interaction
» Master programme in Computational Science
» Bachelor Programme in Mathematics
» Bachelor Programme in Comupeter Science