Fast surface and volume estimation from non-parallel cross-sections, for freehand 3-D ultrasound
ABSTRACT Volume measurements from ultrasound B-scans are useful in many clinical areas. It has previously been demonstrated that using 3-D ultrasound can greatly increase the accuracy of these measurements. Freehand 3-D ultrasound allows freedom of movement in scanning, but the processing is complicated by having non-parallel scan planes. Two techniques are proposed for volume measurement from such data, which also improve surface and volume estimation from data acquired on parallel planes. Cubic planimetry is a more accurate extension of a volume measurement technique involving vector areas and centroids of cross-sections. Maximal disc shape based interpolation is an extension of shape based interpolation which uses maximal disc representations to locally adjust the interpolation direction and hence improve the quality of the generated surface. Both methods are tested in simulation and on in-vivo data. Volumes estimated using cubic planimetry are more accurate than step-section planimetry, and require fewer cross-sections, even for complex objects. Maximal disc shape based interpolation is ideally suited for reconstructing surfaces from a handful of cross-sections, and can therefore be used to give confidence in the segmentation and hence also the cubic planimetry volume.
Article: A Morphology-Based Approach for Interslice Interpolation of Anatomical Slices From Volumetric Images[show abstract] [hide abstract]
ABSTRACT: This paper proposes a new morphology-based approach for the interslice interpolation of current transformer (CT) and MRI datasets composed of parallel slices. Our approach is object based and accepts as input data binary slices belonging to the same anatomical structure. Such slices may contain one or more regions, since topological changes between two adjacent slices may occur. Our approach handles explicitly interslice topology changes by decomposing a many-to-many correspondence into three fundamental cases: one-to-one, one-to-many, and zero-to-one correspondences. The proposed interpolation process is iterative. One iteration of this process computes a transition sequence between a pair of corresponding input slices, and selects the element located at equal distance from the input slices. This algorithmic design yields a gradual, smooth change of shape between the input slices. Therefore, the main contribution of our approach is its ability to interpolate between two anatomic shapes by creating a smooth, gradual change of shape, and without generating over-smoothed interpolated shapes.IEEE Transactions on Biomedical Engineering 09/2008; · 2.28 Impact Factor