This study introduces a novel technique for counting pathologically distinct lesions using cross-sectional data, and demonstrates its ability to recover obscured longitudinal information. The proposed count works by incorporating information about the texture of lesion probability maps. Compared to the commonly used connected components count, the proposed count more accurately reproduced gold-standard counts and correlated more closely with disability scores. Dworkin et al. (2018)