David Scott Wack1,2, Michael G. Dwyer, Jackie Durfee, Sara Hussein, Deepa P. Ramasamy, Niels Bergsland, Robert Zivadinov1
1 Buffalo Neuroimaging Analysis Center, Jacobs Neurological Institute, Dept. of Neurology, State University of New York at Buffalo, Buffalo, NY, USA; 2Dept. of Nuclear Medicine, State University of New York at Buffalo, Buffalo, NY, USA
Software for the analysis and serial classification of multiple sclerosis lesions was developed and tested. The system is based on the definition of a lesion complex (LC) which maintains a one to one correspondence between scans. A grammatically consistent labeling system was used to classify LCs in a chronological progression. The software forces a quality control check to ensure that the operator has not missed ROIs prior to the classification stage. The analysis time is significantly reduced for an operator; while the result has a higher credence by virtue of the forced quality control and grammatical consistency of the labels.