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We are witnessing increasing applications of information technologies in all branches of medicine. The introduction of modern technologies in the field of surgery and orthopedics in everyday practice has allowed physicians to perform diagnostic, preventive and therapeutic activities in the best way. The success of these activities, in addition to the available devices, depends on the experience of doctors and the available information about the patient. Incomplete and inaccurate information on morphology, geometry and the structure of human bones, that are necessary for the reconstruction of bone geometric models, have encouraged the development of new and improvement of existent methods of creating geometrical models of human bones based on predictions. Most of the existent methods for geometrical modeling of the human bones are based on input data (input data of a patient’s bone) and the application of statistical methods for processing these data. As a result of the process, geometrical models of human bones are obtained which can be used for different preclinical and clinical needs. The main goal of this doctoral dissertation has been to development of a method which would enable of creation of a 3D geometrical model of human bones, in this case the human mandible (complete bone, as well as of the missing bone parts) based on complete and / or incomplete entrance data of patients bones. The model thus created would be used in preoperative preparation, simulation of surgical interventions, production of osteofixation material and personalized bone implants, enabling doctors to make appropriate decisions in everyday clinical practice. A special emphasis is placed on improving the existent method of reverse engineering - Method of Anatomical Features (MAF), which allows the creation of geometrical models of human bones in cases where the input data of patient’s bone are complete or not complete. This method served as the initial basis for further research analyzes