Abstract:
In studying brain function, it is frequently of interest to be able to study the whole brain, for example to find areas where activity is high, etc. To this end, it is desirable to reconstruct a model of the whole brain from serial sections. At least currently, it is impractical to stimulate a full volume of brain, owing to memory restrictions. Synthetic surfaces offer a solution: the synthetic surface can be shown with a variety of surface modelling/rendering methods, and this surface used as a guide in selection of the portion of volume to examine, eg by planar sections or cortex removal. This allows data to be accessed in a natural fashion under space constraints.
Volume rendering is a very recent development in image synthesis. It combines true volume display, in which the image at a given pixel represents some properties of the projection of a ray through the entire data volume, wtih local surface rendering, in which shading is effectively based on functional or anatomical surfaces, but surface orientation is derived locally, without modelling global structure.