Ghost cancellation algorithms for MRI images
Ghost cancellation algorithms for restoring magnetic resonance imaging (MRI) images in medical applications are described. The approach is to model the effect of the time delays and the asymmetry of the sinusoidal readout gradient for even and odd lines with two phase functions relating the actual object density to even and odd parts of the observed image. A priori information about the phase functions is exploited in order to estimate the true object density. Examples of applying this ghost cancellation approach to liver and heart images is presented. >