You are imaging a 3D data set that has anisotropic resolution. What does this mean?

You are imaging a 3D data set that has anisotropic resolution. What does this mean?

• A. Spatial resolution is better than temporal resolution
• B. Spatial resolution is equal in all dimensions
• C. Contrast resolution is superior to spatial resolution
• D. Unequal resolution is present between imaging planes

Answer: (D)

Anisotropic resolution means the amount of detail you can resolve is not the same in every direction of the 3D dataset. In practice, the voxel sizes differ along the axes, so the spacing between slices (through-plane direction) is different from the spacing within each imaging plane. For example, you might have high in‑plane resolution (small x and y spacing) but much thicker slices (larger z spacing), which creates unequal resolution between imaging planes. This is exactly what anisotropic resolution describes. The other statements don’t fit because temporal resolution is a different domain, isotropic resolution would be equal in all directions, and contrast resolution refers to distinguishing different intensities rather than geometric sampling.

Anisotropic resolution means the amount of detail you can resolve is not the same in every direction of the 3D dataset. In practice, the voxel sizes differ along the axes, so the spacing between slices (through-plane direction) is different from the spacing within each imaging plane. For example, you might have high in‑plane resolution (small x and y spacing) but much thicker slices (larger z spacing), which creates unequal resolution between imaging planes. This is exactly what anisotropic resolution describes. The other statements don’t fit because temporal resolution is a different domain, isotropic resolution would be equal in all directions, and contrast resolution refers to distinguishing different intensities rather than geometric sampling.