Graph Image Language Techniques Supporting Advanced Classification and Cognitive Interpretation of CT Coronary Vessel Visualizations

Medical Visualizations in Secure Bio Computing

“…Introducing this representation allows a unique graph to be created for every visualisation, which graph describes the individual features using particular peaks, their number, relative location (directions and distances etc.) [13]. An example graph representation of the coronary vascularisation is presented in Fig.…”

“…Figure 3. The graph representations of the right and the left coronary arteries [13] 3. Each coronary vascularisation artery defined by graph edges is analysed to determine the morphometric parameters of these selected sections and assess the possible reduction of the inside diameter of these arteries.…”

“…2. A graph is then spanned on a skeleton thus obtained in the image, for which graph a graph grammar is defined [13]. All points of skeleton ramification are represented by graph peaks, while the sections of arteries connecting them are approximated by graph edges.…”

“…3D reconstructions of coronary vascularisation must be pre-processed as described in [13]. After a projection is obtained of the image showing all the characteristics of the coronary vascularisation, arteries are thinned to produce a skeleton of particular parts of heart vessels.…”

Image Based Crypto-biometric Key Generation

“…1. 3D reconstructions of coronary vascularisation must be pre-processed as described in [16]. After a projection is obtained of the image showing all the characteristics of the coronary vascularisation, arteries are thinned to produce a skeleton of particular parts of heart vessels.…”