The CorTechs Labs Support team is often asked why LesionQuant requires two different series – 3D T1 and 2D/3D FLAIR – to process. To address this question, we wanted to quickly review how LesionQuant processing works and provide some best practice quick tips.
But first, let’s quickly review how LesionQuant, a NeuroQuant product, works.
To begin, the LesionQuant module of NeuroQuant automatically processes the 3D T1 structural scan to provide volumetric information. During processing, the 3D T1 images are registered into NeuroQuant Dynamic Atlas space and anatomic brain structures are identified and labeled. Brain structure volumes are calculated and then normalized to ICV before comparison to age and sex specific normative reference data.
Next, LesionQuant uses the accompanying 2D or 3D FLAIR MR images to supplement and enhance lesion recognition and provide accurate, consistent and repeatable segmentation and quantification of lesions. Segmented lesions are aligned into patient brain space, based on the T1 segmentation, to allow regionalized reporting of lesion counts and volumes and are color-coded based on their anatomical location.
If more than one 3D T1 and 2D/3D FLAIR pair is provided, LesionQuant will report changes in lesion count (with new, active, and resolving lesions for v3.0) and size, and will provide an additional lesion change output with lesions color-coded to distinguish between increasing and decreasing volumes.
And now, here are the LesionQuant processing best practices:
Additional information about LesionQuant:
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