1. A method for segmenting an organ in n-channel volume data records from magnetic resonance imaging, wherein n≧2, the method comprising: generating probability distributions on the basis of segmentation results from n-channel training data records, the probability distributions specifying at least probabilities of positions of voxels and intensity values, which have been reduced from n-dimensions to one dimension with the aid of discriminant reduction, of voxels in the training data records belonging to the organ; generating at least one 3D probability data record from the n-channel volume data records on the basis of the probability distributions, wherein in the generated at least 3D probability data record, each voxel is assigned a probability of belonging to the organ; setting a maximum value of the at least one 3D probability data record as a start point for the segmentation; and segmenting the organ on the basis of the at least one 3D probability data record using a region-growing technique.