We are proud to announce the following key-note speakers at the 2010 MIUA conference.
Trends in Diffusion MRI
The diffusion MRI (dMRI) technique has raised hopes in the neuroscience community for a better understanding of the white matter anatomy of the human brain. The hope is that the extension of available technology will aid in the diagnosis and subsequent treatment of disorders of the central nervous system and is likely to have a major impact on assessment of white matter pathologies (e.g., schizophrenia, multiple sclerosis), quantification of abnormal white matter development, detection of stroke and trauma including traumatic brain swelling, diffuse axonal injury, and spinal trauma, as well as a large variety of brain tumors. In this talk I will review recent developments in dMRI analysis, and discuss where the field is heading.
Multivariate Bioimage Informatics
Multivariate imaging approaches play a role of increasing importance in biomedical research. Multiparametric or multimodal imaging techniques enable researchers to visualize a growing number biological parameters simultaneously in Multivariate image (MVI) stacks at their anatomical site. Since not only the spatial resolution keeps on increasing but also the signal dimension of such data, standard techniques for exploration, like RGB pseudocoloring, thresholding or segmentation, need to be extended or accompanied by new approaches.The talk will give an overview on some projects of the Biodata Mining Group in Bielefeld. In our works, we apply methods from pattern recognition and machine learning to design new tools for the exploration of MVI data. The exploration can be done on two levels: single data set exploration or data base browsing. In the first case, we apply different dimension reduction algorithms to interactively explore MVI in the signal pattern space and in the anatomical space simultaneously. In the second case we develop online web - based bioimage information systems that allow users to share their data and analyze the data in cooperation independent from their physical whereabouts.
Quantitative imaging for biological research
An increasing number of biological projects aim at elucidating the links between cellular function and phenotype through imaging and modelling the spatiotemporal characteristics of cellular dynamics. Particle tracking, automated segmentation and visualisation of multidimensional microscopy images have become critical steps for image-based biological research. We will present and discuss some recent developments of robust and automated tools and software for flexible and robust quantitative analysis and assessment of microscopy data.