The Application of Cellular Automaton in Medical Semiautomatic Segmentation - Cellular Automata in Image Processing and Geometry - page 173

Fig. 9.13 Example of initial classification and interaction in MPR planes. (a)-(c) Selected
axial, sagittal and coronal image planes. (d)-(f) Segmented tissues of teeth.
Fig. 9.14 Dental segmentation results. (a) The extracted mesh and volume rendering results.
(b) Highlighted rendering with surrounding tissues.
Fig. 9.15 Dental segmentation results. (a) The extracted volume surface model. (b) High-
lighted difference between BCA and BMSRM.
only a little more time cost. Using the same input markers, the total evolution time
of BMSRM takes about 30.28 seconds. The extracted dental models are listed in
Figure 9.15(a). Figure 9.15(b) demonstrates the difference between BMSRM and