This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.We have developed three techniques for the creation of closed, smooth surfaces from a set of noisy parallel contours, since a single reconstruction technique is unlikely to produce satisfactory results for all types of contour input. Therefore an effort is underway to develop and study three volumetric contour-based surface reconstruction techniques. The first two techniques are more suitable for sparse contour sets, i.e. those from a low number of high resolution slices, and are based on 2D level set morphing and 2D distance field interpolation. The third method is more appropriate for high density input that contains significant noise both in-plane and inter-plane, and utilizes an implicit point set model to create a smooth surface with user-specified error bounds.
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