Geostatistics
Geostatistical analysis of lesion development in MS
Projects:
- Characterisation of brain MRI lesions in patients with MS using multiple point geostatistics
- Gender differences in the evolution of brain lesion
- Feasibility study: automated vs. manual brain lesion segmentation in MS
- Object based image analysis (OBIA) in MS
Recent Publications:
- Marschallinger R, Mühlau M, Schmidt P, Atkinson P, Trinka E, Golaszewski S, Sellner J. Using Classical Geostatistics to Quantify the Spatiotemporal Dynamics of a Neurodegenerative Disease from Brain MRI. In: Gómez-Hernández J., Rodrigo-Ilarri J., Rodrigo-Clavero M., Cassiraga E., Vargas-Guzmán J. (eds) Geostatistics Valencia 2016. Quantitative Geology and Geostatistics, vol 19. Springer, Cham.
- Marschallinger R, Schmidt P, Hofmann P, Zimmer C, Atkinson PM, Sellner J, Trinka E, Mühlau M. A MS-lesion pattern discrimination plot based on geostatistics. Brain Behav. 2016 Jan 30;6(3):e00430.
- Marschallinger R, Golaszewski SM, Kunz AB, Kronbichler M, Ladurner G, Hofmann P, Trinka E, McCoy M, Kraus J. Usability and potential of geostatistics for spatial discrimination of multiple sclerosis lesion patterns. J Neuroimaging. 2014 May-Jun;24(3):278-86.
Current Funding: Paracelsus Medical University, Teva-Ratiopharm
Collaboration: TU München, Cem-Cat Barcelona, CDK/Division of Neuroradiology
Universitätsklinik für Neurologie, neurologische Intensivmedizin und Neurorehabilitation
Christian-Doppler-Klinik
Ignaz-Harrer-Straße 79
A-5020 Salzburg
Primar Univ. Prof. Dr. Mag. Eugen Trinka