MULTIRESOLUTION TOMOGRAPHIC RECONSTRUCTION USING WAVELETS

We show how the separable two-dimensional wavelet representation leads naturally to an efficient multiresolution tomographic reconstruction algorithm, This algorithm is similar to the conventional filtered back projection algorithm, except that the filters are now angle dependent, and the backprojection gives us the wavelet coefficients of the recon struction, which are then used to synthesize the reconstruction at var ious resolution levels, By reconstructing only a small localized regio n at high resolution, we show how radiation exposure and computation c an be significantly reduced, compared to a standard reconstruction.