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MICCAI
2009
Springer

Discriminative, Semantic Segmentation of Brain Tissue in MR Images

10 years 14 days ago
Discriminative, Semantic Segmentation of Brain Tissue in MR Images
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and takes into account partial volume effects. This is combined with correction of intensities for the MR bias field, in conjunction with a learned model of spatial context, to achieve accurate voxel-wise classification. Our quantitative validation, carried out on existing labelled datasets, demonstrates improved results over the state of the art, especially for the cerebro-spinal fluid class which is the most difficult to label accurately.
Zhao Yi, Antonio Criminisi, Jamie Shotton, Andr
Added 06 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2009
Where MICCAI
Authors Zhao Yi, Antonio Criminisi, Jamie Shotton, Andrew Blake
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