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In a unique cooperation between the
Interfaculty Department of Geoinformatics-ZGIS (IFFB) and the
Christian Doppler Klinik (CDK) hospital, Department of Neurology,
researchers will focus on the 3D+t development of Multiple Sclerosis
lesion patterns.
Multiple Sclerosis (MS), the most frequent disabling
neurological disease of young adults in Europe and North America, is an
automimmune disease of the central nervous system (CNS). In the brain
and in the spine, MS leads to typical 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, interdisciplinary
approach that combines neuroimaging and geoinformatics, this RISE
project aims at establishing a methodology for quantitatively
characterizing MS lesion patterns in space and time: from the
neuroimaging pool of methods, we will use
recent MS lesion extraction algorithms and brain geometry normalization
software to generate normalized binary MS lesion models. From the
geoinformatics pool of methods, we will focus on Object Based Image
Analysis (OBIA) for spatiotemporal MS lesion pattern handling and on
geostatistics for multidimensional MS lesion pattern analysis and
–reproduction.
Besides Jörg Kraus (MS Neuroimmunology), Stefan
Golaszewski (Neuroimaging), Mark McCoy (Neuroradiology) the project
involves Z_GIS researchers
Peter Hofmann (OBIA), who will be employed by
the CDK RISE funds and
Robert Marschallinger (Geostatistics). Project
Kick-off was on November 4, 2013.