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Specifying the boundary of tissues or an organ is one of the most frequently required tasks for a radiologist. It is a first step for further processing, such as comparing two serial images in time, volume measurements. In the present work, we use genetic algorithms (GA) and where necessary apply a ldquodynamic genetic algorithmrdquo (dGA) procedure, which (we believe) is a unique application, to assess different values for finding an optimal set of parameters that characterize the level set method, a geometric active contour, for use as a boundary detection method. Four quantitative measures are used in calculating geometric differences between the object boundaries, as determined by the level set method, and the desired object boundaries. A semi-automated method is also developed to find the desired boundary for the object. A two-step method requires the user to manipulate the object boundaries obtained by …