Advanced Images Algebra (adima): a Novel Method for Lesion Heterogeneity Enhancement in Multiple Sclerosis
نویسندگان
چکیده
INTRODUCTION: Multiple Sclerosis (MS) is characterised by the presence of lesions in white matter (WML), which appear hyper-intense on proton density (PD) and T2-weighted MRI scans. Histological examination has shown that the tissue damage underlying PD/T2 hyper-intense WML is heterogeneous and reflects various pathological features (e.g. inflammation, axonal loss, demyelination). However, this heterogeneity of WML cannot be assessed by using PD/T2-weighted MRI alone. A subset of PD/T2 WML appear hypo-intense on T1-weighted scans which indicates more severe tissue destruction [1]. We have developed a new post-processing analysis method “ADvanced IMages Algebra (ADIMA)”, which utilises existing data sets applied to PDand T2-weighted scans to produce a wider dynamic range of intensities over WML and surrounding tissues.
منابع مشابه
ADvanced IMage Algebra (ADIMA): a novel method for depicting multiple sclerosis lesion heterogeneity, as demonstrated by quantitative MRI
BACKGROUND There are modest correlations between multiple sclerosis (MS) disability and white matter lesion (WML) volumes, as measured by T2-weighted (T2w) magnetic resonance imaging (MRI) scans (T2-WML). This may partly reflect pathological heterogeneity in WMLs, which is not apparent on T2w scans. OBJECTIVE To determine if ADvanced IMage Algebra (ADIMA), a novel MRI post-processing method, ...
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