LONGITUDINAL LESION TRACKING IN MAGNETIC RESONANCE IMAGES
Date
2017
Authors
Kotari, Vikas
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Abstract
T2- lesion volume on magnetic resonance images is one of the surrogate markers that is routinely used for monitoring Multiple Sclerosis disease progression. Studies suggest that in addition to T2-lesion volume, individual lesion dynamics convey valuable information in monitoring disease modifying therapy. These lesion dynamics can predict conversion to permanent tissue damage, which can potentially improve repair capacity. Currently, lesion volume is delineated manually, which is subject to large inter-rater and intra-rater variability. Furthermore, manual techniques can be expensive and time consuming.
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Keywords
Electrical engineering, Medical imaging, Neurosciences, Image Segmentation, Lesion Tracking, Longitudinal Magnetic Resonance Images, Medical Image Analysis, Multiple Sclerosis, Subtraction Imaging