Computational Intelligence in Cognitive Healthcare Information Systems - Computational Intelligence in Healthcare: Advanced Methodologies - page 343

data. In the case of the external lateral projection, the proposed graph grammar has
the following form:

G = ( N , Σ , Γ , ST , P )

where:
N = {ST, TIBIA, FIBULA, TALUS, CALCANEUS, OS NAVICULARE, OS
CUBOIDEUM, OS CUNEIFORME INTERMEDIUM, OS CUNEIFORME
LATERALE, M1, M2, M3, M4},
Σ = {s, t, u, v, w, x, y, z, t, f, ta, c, on, oc, oci, ocl, m1, m2, m3, m4}
Γ - the graph shown in Fig. 5
The start symbol S = ST
P - a finite set of productions shown in Fig. 5

Fig. 5. Interrelations between particular elements of the structure of foot bones
Source: own development

Defining such elements of the grammar is aimed at specifying a set of grammatical
rules. Such rules would enable all cases of images showing the correct structure of
foot bones to be interpreted. It should be kept in mind that this is a different set of
grammatical rules for every projection. Figure 6 shows a set of graphs defining the
correct structure of foot bones visible in the external lateral projection.
Determining the correct relationships and the correct structure of foot bones
enables UBIAS systems to conduct a meaning analysis. For such projections of foot
images, these analyses can generate results of reasoning about and interpreting
selected types of fractures and pathological situations. Examples of those situations
are shown in Fig. 7.