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Abstract #2412

Evaluation of multispectral segmentation of gray matter based on 3D T1-, T2 and T2-weighted FLAIR images for gray matter segmentation

Kotikalapudi Raviteja1, Pascal Martin2, Niels K Focke2, and Benjamin Bender1

1Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany, 2Neurology and Epileptology, University Hospital Tübingen, Tübingen, Germany

An ideal classification of brain tissue structures as segmented gray matter (GM) has been a challenge while using standard T1-weighted image. One of the important ways of addressing this issue would be to use additional information from multispectral imaging such as T2- and T2-weighted FLAIR images. We evaluated the effect of multispectral segmentation on GM segmentation using SPM12 VBM and compared it with T1-only segmentation. We found that T1-segmentation overestimates dura, meninges and vessels as GM. This problem was successfully addressed by multispectral segmentation, which should be used as a segmentation model for future VBM studies.

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