Interpolation

This tool serves for calculating a new image volume by an interpolating values from the current image volume. There are four choices for the Interpolation Method

Default is Trilinear which is a simple and fast interpolation using all 8 enclosing pixel values. The truncated sinc interpolations Sinc (Window 5) and Sinc (Window 7) are more accurate, but considerably slower. Nearest neighbor interpolation just uses the value of the closest pixel, so it is very fast but in most cases does not provide satisfactory quality. However, it is the method of choice if an object map image containing integer values needs to be resliced.

With Number of Pixels the image volume is sampled into a new number of pixels in each direction. Set from image copies the current numbers into the pixels number fields.

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. Set from image copies the current numbers into the mm number fields.

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.

The resulting image will have the dimensions, pixel size, and the origins of the reference image and the pixels at zero of the real coordinates will coincide.