SC 98-39 Detlev Stalling, Malte Zöckler, Oliver Sander, Hans-Christian Hege: Weighted Labels for 3D Image Segmentation
Abstract: Segmentation tools in medical imaging are either based on
editing geometric
curves or on the assignment of region labels to image voxels. While the
first approach is well suited to describe smooth contours at subvoxel
accuracy, the second approach is conceptually more simple and guarantees a
unique classification of image areas. However, contours extracted from
labeled images typically exhibit strong staircase artifacts and are not
well suited to represent smooth tissue boundaries. In this paper we
describe how this drawback can be circumvented by supplementing region
labels with additional weights. We integrated our approach into an
interactive segmentation system providing a well-defined set of manual and
semi-automatic editing tools. All tools update both region labels as well
as the corresponding weights simultaneously, thus allowing one to define
segmentation results at high resolution. We applied our techniques to
generate 3D polygonal models of anatomical structures.
Keywords: image processing,
segmentation
CR: I.4.6