Marios C. Yiannakas1, Daniel J. Tozer1,
Klaus Schmierer1, Declan T. Chard1, Valerie M. Anderson1,
David H. Miller1, Claudia A.M Wheeler-Kingshott1
1UCL -
Multiple
Sclerosis lesions are known to be pathologically heterogeneous but this is
not well depicted on conventional MRI. In this work a new MR analysis method
is presented which utilises conventional FSE dual echo data sets with the use
of advanced images algebra (ADIMA). The method is an extension to a
previously described technique and involves image subtraction and
normalisation in order to enhance the dynamic range in the image with a
consequent enhancement of lesional heterogeneity in MS lesions. The method is
shown to permit classification of T2 hyper-intense lesions into bright and
dark regions in a reproducible way.