Accurate segmentation of 3-D magnetic resonance images of the head using a directional watershed transform
A new algorithm for automatic and accurate segmentation of 3-D magnetic resonance images (MRI) is presented. It improves the classical watershed transformation (WST) whose results are inaccurate when applied on 3-D noisy data. It uses directional information and is less sensitive to noise since it does not require the gradient image. Initial results are presented.