Novel methods for human-computer interaction in multimodal and multidimensional noninvasive medical imaging

Abstract

The newly developed method for medical noisy data segmentation for the purpose of presentation and supporting the diagnostics is introduced. It also allows for morphometry and visualization of medical multimodal and dynamical data. A general mathematical framework is presented and characterized together with numerous applications. As this tool is designed to support human-computer interaction by means of involving the sense of sight, and suspected to be worthy in the virtual environment sensitive to the sense of touch, the discussion is supported with numerous examples of visualizations and multimodal and multidimensional applications of proposed method. © Springer-Verlag Berlin Heidelberg 2007.