ADvanced IMage Algebra (ADIMA): a novel method for depicting MS lesion heterogeneity, as demonstrated by quantitative MRI

This UK study looked at a new MR image-processing method, ADvanced Image Algebra (ADIMA), which uses conventional proton density-weighted and T2 weighted images to assess white matter heterogeneity. The white matter lesions were classified into two groups: bright (ADIMA-b) and dark (ADIMA-d), with different quantitative MR properties, which can be segmented.

Results from the study showed that ADIMA-b exhibited higher T1 and T2, and lower MTR that the T2 white matter lesions (WML). The values between ADIMA-b and T1-WML, were similar but only partially overlapping. Also, ADIMA-d showed quantitative characteristics similar to T2-WML but they were only partially overlapping. Therefore, ADIMA allows the simple classification of white matter lesions, which likely reflects pathological heterogeneity.

Authors: Yiannakas MC, Tozer DJ, Schmierer K

Mult Scler. 2012 Oct 4. [Epub ahead of print]

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