We present an approach to assess the uncertainty associated to classifying voxels into different material phases. The approach consists in a spectral deconvolution of the grey-level histogram using a Gaussian mixture approach, followed by an iterativeclassification procedure based on the occurrence frequency. As phase attributions become increasingly moreuncertain as iterations proceed, confidence bounds on the final segmentation are naturally obtained