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.

The Reference option allows interpolating the image to the space of the selected reference image assuming identity transformation.