Analytic Reconstruction of the PERL Transform

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							                                                Analytic Reconstruction of the PERL Transform

                                                                    M.I. Hrovat and S. Patz
                                                             Mirtech Inc. and Brigham & Women’s Hospital


Purpose                                                                               We have determined that the Ψm ( y ) are given by
         Previously, we proposed a two-dimensional                                                                      m
PERiodic-Linear (PERL) encoding field geometry of the                                                     Ψm ( y ) =      J m ( k y y ) Sgn ( y )                   [5]
                                                                                                                        y
form Bx (x, y) = gy y cos(q x x) and an imaging sequence
                                                                                      where Sgn(y) (1 for y>0 & –1 for y<0), is the sign function.
which incorporates an additional standard linear gradient
along x to image a 2D spin density.1,4 We have recently                               The PSF is then given by
discovered an analytic procedure for the reconstruction                                                                    ∞
                                                                                                                                             J n (ky )
process in contrast to the numerical method2 we employed                                    h ( x − y ) =δ ( y ) J 0 ( kx ) + ∑ n Sgn( y )             J n ( kx )   [6]
earlier and the semi-analytic procedure recently proposed.3                                                               n =1                   y
Introduction
                                                                                      We have been able to validate this expression. The
         In the PERL imaging technique, the phase of the
                                           [                           ]
                                                                                      summation term can be shown in the limit of large x,y or
signal is given by Φ(t) = γ Gx xt − g y yT cos(q x x ) . where                        large k to be equivalent to sin(k(x-y))/(x-y).
Gx is the amplitude of the linear gradient, gy is the                                 Discussion
amplitude of the PERL field, T is the time duration of the                                     The analytic solution greatly simplifies the
PERL field, and qx is the wavelength of the PERL field.                               reconstruction process and furthermore eliminates the
The resulting exponential of the phase factor may be                                  truncation error induced from our prior numerical
expanded (Jacobi-Anger expansion) to reveal that the x -                              approach. Furthermore the sinc-like character of the PSF
dimension is encoded in a Fourier fashion, but the y -                                which we had observed previously2 has been verified.
dimension appears as the argument of a Bessel function.                                        The PT is based upon expanding a function as
Consequently, the time-domain signal and image spin                                   series of Bessel functions with respect to order. This is a
density are not related by a two-dimensional Fourier                                  fundamentally different expansion then that associated with
transform (2DFT). The x-dimension is treated by a 1D-                                 a Fourier-Bessel series or a Hankel transform. The early
FFT. However, the y-dimension transform features a new                                literature5-7 had concluded that this expansion was quite
Bessel function integral transform, which we have termed                              limited and did not assign much importance to it. To our
the PERL transform (PT).                                                              knowledge this view is still currently held. We have learned
                               ∞
                                                                                      from our application and analysis that this expansion has
          ρ ’m ( x ) =         ∫ ρ ( x, y ) J
                               −∞
                                                m   ( k y y )dy             [1]       wider applicability. In particular the factor k, which is fixed
                                                                                      in the PERL experiment, is intimately connected to the
with k y = γgy T . The solution to the inverse of the PT                              limiting resolution, similar to the limiting resolution created
provides a reconstruction algorithm for the y -dimension of                           by a truncated Fourier series. This in turn implies that with
the spin density from the signal space. To date, the inverse                          a suitable scaling factor, the expansion is applicable to most
PT has been computed numerically by a Bessel function                                 cases of interest.
expansion over its basis functions2 and a semi-analytic                               References
procedure which involves a spherical Bessel function                                  1. S. Patz, M.I. Hrovat, Y.M. Pulyer, and F. J. Rybicki.
expansion.3                                                                                “Novel encoding technology for ultrafast MRI in a
Methods                                                                                    limited spatial region”. Int J of Imaging Syst and
          The inverse of Eq.[1] requires finding the                                       Technol (1999) 10: 216-224.
complimentary functions, Ψm ( y ) , which satisfy the                                 2. F.J. Rybicki, S. Patz, and M.I. Hrovat. “Reconstruction
                                                                                           algorithm for novel ultrafast MR imaging.” Int J
criteria:                                                                                  Imaging Syst and Technol (1999) 10: 209-215.
                           ∞
                                                                                      3. F.J. Rybicki, S. Patz, M.I. Hrovat, Analytic
                           ∫Ψ
                          −∞
                                m   ( y ) J m ’ (k y y )dy = δmm’           [2]
                                                                                           Reconstruction of MRI Signal Obtained from a
           ∞
                                                                                           Periodic Encoding Field.85th RSNA Proceedings, 1999,
          ∑J
          m =0
                     m   (k y y )Ψm ( y ’) = h( y − y ’)                    [3]            Chicago, Il.
                                                                                      4. S. Patz, M.I. Hrovat, F.J. Rybicki. Properties of a
where h(y) is a point spread function (PSF) which for an                                   Periodic and Linear Spatial Encoding Field for MR
exact solution would behave as a delta function.                                           Imaging. 85th RSNA Proceedings, 1999, Chicago, Il.
Results                                                                               5. G.N. Watson, A Treatise on the Theory of Bessel
        Based on the following property5-7:                                                Functions. University Press. Cambridge, 1948.
          ∞                                                                           6. H.A. Webb, Messenger Math 33, 55 (1904).
                                         dk 2 sin (( m − n ) π 2)
          ∫J
          0
                 m   ( kx ) J n ( kx )     =
                                         k π       ( m 2 −n 2 )
                                                                           [4]        7. W. Kapteyn, Messenger Math 35, 122 (1906).

						
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