Histologic tumour image synthesis based on a cellular automaton.
Cellular automata are suitable models for simulating tumour growth and invasion at the microscopic level. The results of the stimulation, however, is usually represented by a pattern of grid points, which is difficult to relate to real histological patterns by visual inspection. In this paper a 2-dimensional image synthesis module is presented, which provides a more realistic visualisation by texture mapping to tumour cell nuclei, cytoplasm and stromal elements, simulating a melanocytic tumour invading the reticular dermis. The enhancement by image synthesis facilitates a visual comparison of simulated images of real histological specimens.
Smolle
J
J
Department of Dermatology, University of Graz, Austria.
D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008545:Melanoma / Q000473:pathology* / Q000648:ultrastructure; D008954:Models, Biological; D009361:Neoplasm Invasiveness; D012878:Skin Neoplasms / Q000473:pathology* / Q000648:ultrastructure