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When we are processing large quantity of a data, and/or we are computing complex tasks, computational performance of one computer is not enough. Solution is parallel processing. However proper approach to parallel programming doesn't need to well-known to medical experts or computational tool doesn't have native support for parallel programming. Our goal is to design unified interface, which allows parallel approach to our medical researchers. It must provide support for existing medical experiments and it must provide full interoperability.

The most indicated imaging technique before operations is computed tomography. Preoperative deliberation requires not only its own evaluation of pathological findings, but also the overall anatomy, perfusion and volume of various anatomical parts, which must be accurately identified. There is a wide range for computer-assisted diagnosis, which should reduce and refine the assessment carried out by man and help better decide on the appropriate therapeutic procedure (resection, multiphase power, chemotherapy, ablation methods), and, among other things, reduce the number of unnecessary surgical procedures while on the other hand enabling the implementation of extensive resection. We aims to create a comprehensive system for computed imaging, which would allow the detection and analysis of focal lesions, determination of their segmental localisation, assessment of perfusion conditions and performance of a virtual resection including the establishment of volume resected and organ remaining. Such a system is not yet commercially available.