Unsupervised, automated segmentation of the normal brain using a multispectral relaxometric magnetic resonance approach

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Summary

This multi‐spectral segmentation method permits reproducible, operator‐independent volumetric measurements and accuracy and reproducibility were tested with a three‐compartment phantom simulating GM, WM, and CSF.

Type
article
Published
1997-01-01
Cited by
109
References
24
Access
Open access

Keywords

Multispectral image, Nuclear magnetic resonance, Magnetic resonance imaging, Segmentation, Artificial intelligence

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