Interpolation
Three different methods for interpolating an image volume. With Number of Pixels the image volume can be sampled into a new number of pixels in each direction.
With Pixel Size, a new size in each direction can be specified. The matrix size results from the division of the volume sizes by the pixel sizes.
With Transformation, a spatial transformation matrix calculated by the fusion tool can be applied to the image. Resliced image space has three different settings:
- Original Reference: The transformation is applied with the resolution of the reference image used during matching, and the result is in the bounding box of the original reference image.
- Preserved Input Dimensions: The transformation is applied with the current image resolution, and the result is in the bounding box of the original reference image.
- Preserved Input Space: The transformation is applied within the bounding box of the input image. Large translations may move the image data completely outside the bounding box.