Inhomogeneity correction

Automatic preprocessing with inhomogeneity correction

BESA MRI automatically corrects for hardware-related gray-value fluctuations of MRI images. Inhomogeneity correction is needed as a major workstep prior to the segmentation of different brain tissues.

In BESA MRI, this correction is done by an automated workstep realized as an iterative procedure based on the Adaptive Fuzzy C-Means (AFCM) algorithm (Pham, D. and Prince, J. (1999)) enhanced by incorporating anatomical template masks. Without inhomogeneity correction the correct segmentation of cortical surfaces cannot be guaranteed. Therefore, BESA MRI provides an unrivalled quality of scalp and cortex reconstructions.

Automatic preprocessing with inhomogeneity correction

• BESA MRI automatically corrects for hardware-related gray-value fluctuations of MRI images.
• Inhomogeneity correction is needed as a major workstep prior to the segmentation of different brain tissues. Without inhomogeneity correction the correct segmentation of cortical surfaces cannot be guaranteed.
• BESA MRI provides an unrivalled quality of scalp and cortex reconstructions.