RISE (2013 – 2014)
Quantifying Multiple Sclerosis lesion patterns in space and time – Object Based Image Analysis for extracting lesion development from MRI data
In cooperation with the Christian Doppler Klinik (CDK), RISE focuses on the 3D+t development of Multiple Sclerosis (MS) lesion patterns. MS, an automimmune disease of the central nervous system (CNS), is the most frequent disabling neurological disease of young adults in Europe and North America. In the brain and in the spine, MS leads to demyelinating lesions with sizes of few mm to several cm. Advances in medical imaging with Magnetic Resonance Tomography (MRT) at the fore-front, have provided a steadily improving spatiotemporal data base of MS. Yet, despite of intensive international efforts there is almost complete lack of suitable and objective parameters to determine a distinct MS subtype or to forecast individual disease courses. Following an innovative and interdisciplinary approach that combines neuroimaging and geoinformatics, the RISE project aims at establishing a methodology for quantitatively characterizing MS lesion patterns in space and time: from the neuroimaging pool of methods, RISE uses current MS lesion extraction algorithms and brain geometry normalization software to generate 3D+t MS lesion models. From the geoinformatics pool of methods, RISE employs Object Based Image Analysis (OBIA) for spatiotemporal MS lesion pattern handling and Geostatistics for multidimensional MS lesion pattern analysis and –reproduction.
Funding Source: Paracelsus Medizinische Privatuniversität Salzburg
Project volume: € 12,500