TISSUE CLASSIFICATION USING IMAGE INTENSITIES AND ANATOMICAL POSITIONS

The invention relates to a medical image data processing system (101) for image segmentation. The medical image data processing system (101) comprises a machine learning framework trained to receive an anatomical position of a voxel and to provide a tissue type classification. An execution of machine executable instructions by a processor (130) of the medical image data processing system (101) causes the processor (130) to control the medical image data processing system (101) to:- receive medical image data (140) comprising an anatomical structure of interest,- fit an anatomical frame of reference (302, 402) to the medical image data (140) using model-based segmentation,- classify tissue types represented by voxels of the medical image data (140) using the machine learning framework, wherein anatomical positions of the voxels with respect to the anatomical frame of reference (302, 402) are used as the input to the machine learning framework.