Multivariate image analysis in biomedicine

Multivariate Image Analysis in Biomedicine - A Methodological Review

In recent years, multivariate imaging techniques are developed and applied in biomedical research in an increasing degree. In research projets and in clinical studies as well m-dimensional multivariate images (MVI) are recorded and stored to databases for a subsequent analysis. The complexity of the m-dimensional data and the growing number of high throughput applications call for new strategie...

Multivariate Image Analysis and Segmentation in Microanalysis

Instruments for microanalysis are now able to provide several images of the same specimen area. In this paper, two groups of methods are described for handling these multivariate maps. One group concerns dimensionality reduction, i.e., the projection of N-dimensional data sets onto a M-dimensional parameter space (M<N). It is shown that, in addition to linear mapping which can be performed by M...

Exploratory analysis of multivariate image data

Multivariate Image Texture by Multivariate Variogram for Multispectral Image Classification

Traditional image texture measure usually allows a texture description of a single band of the spectrum, characterizing the spatial variability of gray-level values within the singleband image. A problem with the approach while applied to multispectral images is that it only uses the texture information from selected bands. In this paper, we propose a new multivariate texture measure based on t...

Overview of the popular image techniques and services in biomedicine

Imaging is one of the most important information sources in medicine and biology, as it opens up new ways to see the inner workings of the body, measure biological functions, evaluate cellular and molecular events using less-invasive procedures and makes the diagnostic processes more effective. At the same time, there are now possibilities to share huge quantities of medical information between...