A new 3D technique for the human spontaneous intracerebral brain hemorrhage (ICH) region segmentation and quantification is presented in this paper. The ICH primary region segmentation algorithm uses the K-means histogram-based clustering algorithm. The ICH edema region segmentation algorithm employs an interactive morphological processing of the ICH brain data. A volume rendering technique is used for the effective 3D visualisation of ICH segmented regions. A computer programme is developed for use in the human spontaneous ICH study involving large number of patients. Some experimental measurements and visualisation results are presented which were computed on real ICH patient brain data.