he present invention is of a method of dynamically generating human embryoid bodies which can be used for generating lineage specific cells and cell lines. Conventional algorithms are used to train a number of neural networks having error diversity, for example by having a different number of hidden nodes in each network. Utilizing this methodology, dynamic material properties of arterial structures, such as IMT and diameter, are measured in a standard region over successive image frames.