BACKGROUND: Fracture of the lateral border of the distal tibia is often referred as Tillaux fracture. It is an avulsion fracture due to the tension of the anteroinferior portion of the anterior tibiofi bular ligament (1). This type of fracture is scarce in adulthood and can be easily overlooked. METHODS: From 2006 to the present day, 7 case reports describing the Tillaux fracture were found in the PubMed and Web of Science database, to which one case from our set of patients was added. Our goal was to focus on the diagnostic and a selected treatment described in each published case. RESULTS: We found no gender difference. The injury mechanism was mostly an external rotation. Treatment and diagnosis were, in all cases differentiated at specifi c points. Fixation and load reduction were indicated at least for six weeks in all of the patients. After three months, in almost all cases, a return to full function was achieved. CONCLUSION: Our assessments are not statistically signifi cant, but our goal was to point out the existence of such a rare type of fracture. At the same time, based on previous publications, we developed an algorithm of diagnosis and treatment to facilitate the management of this type of fracture

Image segmentation is a known problem in the fi eld of image processing. A great number of methods based on different approaches to this issue was created. One of these approaches utilizes the fi ndings of the graph theory. METHODS: Our work focuses on segmentation using shortest paths in a graph. Specifi cally, we deal with methods of "Intelligent Scissors," which use Dijkstra's algorithm to fi nd the shortest paths. RESULTS: We created a new software in Microsoft Visual Studio 2013 integrated development environment Visual C++ in the language C++/CLI. We created a format application with a graphical users development environment for system Windows, with using the platform .Net (version 4.5). The program was used for handling and processing the original medical data. CONCLUSION: The major disadvantage of the method of "Intelligent Scissors" is the computational time length of Dijkstra's algorithm. However, after the implementation of a more effi cient priority queue, this problem could be alleviated. The main advantage of this method we see in training that enables to adapt to a particular kind of edge, which we need to segment. The user involvement has a signifi cant infl uence on the process of segmentation, which enormously aids to achieve high-quality results (Fig. 7, Ref. 13). Text in PDF www.elis.sk.