Pattern Analysis and Visualization in Computer-Aided Diagnosis: Cross-Fertilization between Biomedical Imaging and Engineering

up new vistas for the exploration of the human body, enabling both
high spatial and temporal resolution. However, these techniques have
led to vast amounts of image data whose precise and reliable visual
analysis by medical doctors and bioscientists requires a considerable
amount of human intervention and expertise, thus resulting in a cost
factor of substantial economic relevance. Hence, the computer-assisted
analysis of medical image data has moved into the focus of interest as
an issue of high priority research efforts. The talk covers novel
methods for pattern analysis, visualization and computer-aided diagnosis
in the field of biomedical imaging, specifically MRI, such as functional
MRI for human brain mapping, dynamic cerebral contrast-enhanced perfusion
MRI and new approaches to breast cancer diagnosis in MRI mammography. An
outlook to topical projects in systems biology confirms the broad
applicability of the presented methods.