In this thesis, the goal was to implement a method to do partial segmentation for general 3D volumetric datasets such as mummies, clay figurines or animal bodies. There are different approaches for segmenting volumes, such as automatic methods, semi-automatic methods and interactive methods. However, no automatic algorithm was found that could successfully segment any general 3D volume with high precision. Instead, the chosen approach are segmentation tools which allows the user to quickly and intuitively do partial segmentation from a 3D volume. The tools consist of a interactive 3D brush, a transfer function editor and a semi-automatic flood fill tool which performs region growing in 3D. User studies were carried out in order to evaluate the speed and effectiveness of the segmenting tools compared to the conventional method of segmenting using a stack of 2D images. Based on the user studies the results shows that the proposed method is faster compared to the old method as long as high precision is not required.