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K-transform


In mathematics, the K transform (also called the Single-Pixel X-ray Transform) is an integral transform introduced by R. Scott Kemp and Ruaridh Macdonald in 2016. The transform allows the structure of a N-dimensional inhomogeneous object to be reconstructed from scalar point measurements taken in the volume external to the object.

Gunther Uhlmann proved that the K transform exhibits global uniqueness on \mathbb R^n, meaning that different objects will always have a different K transform. This uniqueness arises from the use of a monotone, nonlinear transform of the X-ray transform. By selecting the exponential function for the monotone nonlinear function, the behavior of the K transform coincides with attenuation of particles in matter as described by the Beer–Lambert law, and the K transform can therefore be used to perform tomography of objects using a low-resolution single-pixel detector.

An inversion formula based on a linearization was offered by Lai et al., who also showed that the inversion is stable under certain assumptions. | author-link = A numerical inversion using the BFGS optimization algorithm was explored by Fichtlscherer.

Definition

Let an object f be a function of compact support that maps into the positive real numbers f:\Omega\rightarrow\mathbb{R}^{+}_0 . The K-transform of the object f is defined as \mathcal{K}:L^1(\Omega,\mathbb{P}^{+}0)\rightarrow[0,1], \mathcal{K}f(r)\equiv\int{L_D(r)}e^{\mathcal{P}f(l)},dl, where L_D(r)\equiv L(r)\cap L(D) is the set of all lines originating at a point r and terminating on the single-pixel detector D, and \mathcal{P} is the X-ray transform.

Proof of global uniqueness

Let \mathcal{P}f be the X-ray transform transform on \mathbb{R}^n and let \mathcal{K} be the non-linear operator defined above. Let L^1 be the space of all Lebesgue integrable functions on \mathbb{R}^n , and L^\infty be the essentially bounded measurable functions of the dual space. The following result says that -\mathcal{K} is a monotone operator.

For f,g\in L^1 such that \mathcal{K}f,\mathcal{K}g\in L^\infty then \langle\mathcal{K}f-\mathcal{K}g,f-g\rangle\leq 0 and the inequality is strict when f\neq g.

Proof. Note that \mathcal{P}f(r,\theta) is constant on lines in direction \theta, so \mathcal{P}f(r,\theta)=\mathcal{P}f(E_\theta r,\theta), where E_\theta denotes orthogonal projection on \theta^\bot. Therefore:

\langle\mathcal{K}f-\mathcal{K}g,f-g\rangle =\int_{\mathbb{R}^n}\int_{\mathbb{S}^{n-1}} \left(e^{-\mathcal{P}f(r,\theta)}-e^{-\mathcal{P}g(r,\theta)}\right)(f-g)(r),d\theta, dr

=\int_{\mathbb{S}^{n-1}}\int_{\mathbb{R}^n} \left(e^{-\mathcal{P}f(r,\theta)}-e^{-\mathcal{P}g(r,\theta)}\right)(f-g)(r),dr,d\theta

=\int_{\mathbb{S}^{n-1}}\int_{\theta^\bot} \left(e^{-\mathcal{P}f(E_\theta r,\theta)}-e^{-\mathcal{P}g(E_\theta r,\theta)}\right)\int_\mathbb{R}(f-g)(E_\theta r+s\theta),ds,dr_{!H},d\theta

=\int_{\mathbb{S}^{n-1}}\int_{\theta^\bot} \left(e^{-\mathcal{P}f(E_\theta r,\theta)}-e^{-\mathcal{P}g(E_\theta r,\theta)}\right)\left(\mathcal{P}f(E_\theta r,\theta)-\mathcal{P}g(E_\theta r,\theta)\right)dr_{!H},d\theta

where dr_{!H} is the Lebesgue measure on the hyperplane \theta^\bot. The integrand has the form (e^{-s}-e^{-t})(s-t), which is negative except when s=t and so \langle\mathcal{K}f-\mathcal{K}g,f-g\rangle unless \mathcal{P}f=\mathcal{P}g almost everywhere. Then uniqueness for the X-Ray transform implies that g=f almost everywhere. \blacksquare

Lai et al. generalized this proof to Riemannian manifolds.

Applications

The K transform was originally developed as a means of performing a physical one-time pad encryption of a physical object. The nonlinearity of the transform ensures the there is no one-to-one correspondence between the density f and the true mass \int_{\mathbb{S}^{n-1}}\int_\mathbb{R}f(x+s\theta),ds,d\theta, and therefore f cannot be estimated from a single projection.

References

References

  1. (August 2, 2016). "Physical cryptographic verification of nuclear warheads". Proceedings of the National Academy of Sciences.
  2. (August 2, 2016). "Supporting information: physical cryptographic verification of nuclear warheads". Proceedings of the National Academy of Sciences.
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