An interactive tool for the segmentation of multimodal medical images

This paper describes a software application to segment multimodal biomedical images in 2D and to render the final result in 3D. It makes use of the false-colouring method for image fusion and of unsupervised clustering algorithms. It includes pre-processing and post-processing tools, such as classical morphological operators. Results are presented from original MRI data sets in T1, T2 and STIR modalities.