Projection-slice theorem

In mathematics, the projection-slice theorem, central slice theorem or Fourier slice theorem in two dimensions states that the results of the following two calculations are equal:

In operator terms, if

then:

F_1 P_1=S_1 F_2\,

This idea can be extended to higher dimensions.

This theorem is used, for example, in the analysis of medical CT scans where a "projection" is an x-ray image of an internal organ. The Fourier transforms of these images are seen to be slices through the Fourier transform of the 3-dimensional density of the internal organ, and these slices can be interpolated to build up a complete Fourier transform of that density. The inverse Fourier transform is then used to recover the 3-dimensional density of the object. This technique was first derived by Ronald N. Bracewell in 1956 for a radio astronomy problem.

The projection-slice theorem in N dimensions

In N dimensions, the projection-slice theorem states that the Fourier transform of the projection of an N-dimensional function f(r) onto an m-dimensional linear submanifold is equal to an m-dimensional slice of the N-dimensional Fourier transform of that function consisting of an m-dimensional linear submanifold through the origin in the Fourier space which is parallel to the projection submanifold. In operator terms:

F_mP_m=S_mF_N.\,

Proof in two dimensions

The projection-slice theorem is easily proven for the case of two dimensions. Without loss of generality, we can take the projection line to be the x-axis. There is no loss of generality because if we use a shifted and rotated line, the law still applies. Using a shifted line (in y) gives the same projection and therefore the same 1D Fourier transform results. The rotated function is the Fourier pair of the rotated Fourier transform, for which the theorem again holds.

If f(x, y) is a two-dimensional function, then the projection of f(x, y) onto the x axis is p(x) where

p(x)=\int_{-\infty}^\infty f(x,y)\,dy.

The Fourier transform of f(x,y) is

F(k_x,k_y)=\int_{-\infty}^\infty \int_{-\infty}^\infty f(x,y)\,e^{-2\pi i(xk_x+yk_y)}\,dxdy.

The slice is then s(k_x)

s(k_x)=F(k_x,0) =\int_{-\infty}^\infty \int_{-\infty}^\infty f(x,y)\,e^{-2\pi ixk_x}\,dxdy
=\int_{-\infty}^\infty \left[\int_{-\infty}^\infty f(x,y)\,dy\right]\,e^{-2\pi ixk_x} dx
=\int_{-\infty}^\infty p(x)\,e^{-2\pi ixk_x} dx

which is just the Fourier transform of p(x). The proof for higher dimensions is easily generalized from the above example.

The FHA cycle

If the two-dimensional function f(r) is circularly symmetric, it may be represented as f(r) where r = |r|. In this case the projection onto any projection line will be the Abel transform of f(r). The two-dimensional Fourier transform of f(r) will be a circularly symmetric function given by the zeroth order Hankel transform of f(r), which will therefore also represent any slice through the origin. The projection-slice theorem then states that the Fourier transform of the projection equals the slice or

F_1A_1=H\,

where A1 represents the Abel transform operator, projecting a two-dimensional circularly symmetric function onto a one-dimensional line, F1 represents the 1-D Fourier transform operator, and H represents the zeroth order Hankel transform operator.

Extension to fan beam or cone-beam CT

The projection-slice theorem is suitable for CT image reconstruction with parallel beam projections. It does not directly apply to fanbeam or conebeam CT. The theorem was extended to fan-beam and conebeam CT image reconstruction by Shuang-ren Zhao in 1995.[1]

See also

References

  1. ↑ Zhao S.R. and H.Halling (1995). "A New Fourier Transform Method for fan Beam Tomography". published in 1995 Nuclear Science Symposium and Medical imaging Conference Record: 1287–91.
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