In addition to preoperative planning, precise tumor volumetry plays a crucial role in the success of the therapy if, for example, it is necessary to determine at an early stage whether the tumor is responding to chemotherapy. Thanks to the use of mathematic models, this can be achieved at a far earlier stage and with greater precision compared to the conventional manual method of calculating the tumor diameter (e.g. RECIST or WHO diameters). This reduces treatment costs and enhances the relevance of the results. The use of this tumor volumetry is also suitable for clinical trials of new chemotherapies.
Bone segmentation is another potential application used in the automated identification of different anatomic structures. Bone structures are extracted from CT images and categorizes into various anatomic sections (cortex, spongiosa, bone space) and then measured. With this data, it is possible to improve the design of implants for bone fractures such as plates and screws. In addition, complex fractures can be viewed three-dimensionally enabling a surgeon to practice on a plastic model prior to surgery.