Computer Aided Diagnosis - Applications in Neuroimaging

Three-dimensional (3D) and four-dimensional (4D) imaging plays an increasingly important role for the detection and diagnosis of neurological diseases. Currently, their early detection is heavily dependent on the subjective assessment of imaging data by clinicians. In this talk we will present computational approaches that enable the accurate detection and diagnosis of neurological diseases. In particular we will show how registration and segmentation of neuro-anatomical structures can be used in conjunction with machine learning techniques for the computer-aided detection of diseases in individual subjects, subtle group differences between populations and also allows the computer-aided quantification of temporal changes such as growth or atrophy in brain MR images.