Automatic lesion incidence estimation and detection in multiple sclerosis using multisequence longitudinal MRI
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Nerve Fibers, Myelinated
Pattern Recognition, Automated
This fully automated and computationally fast method allows sensitive and specific detection of lesion incidence that can be applied to large collections of images. Using the explicit form of the statistical model, SuBLIME can easily be adapted to cases when more or fewer imaging sequences are available.