Software for diagnosis of the GPA disease using CT image analysis

The contribution presents a new software with a graphical user interface facilitating the diagnostics of granulomatosis with polyangiitis (GPA) using computed tomography (CT) image analysis. GPA represents a serious disease that can be efficiently diagnosed, using CT image processing methods. Standard software packages enable the CT image visualization supplemented by some rather restricted interactive tools only (zoom, rotation, distance or angle measurements etc.) but provide no automatic analysis. Therefore, we have introduced a new software with semi-automatic or automatic analysis.