  In this paper offers a simple and lossless compression method for compression
of medical images. Method is based on wavelet decomposition of the medical
images followed by the correlation analysis of coefficients. The correlation
analyses are the basis of prediction equation for each sub band. Predictor
variable selection is performed through coefficient graphic method to avoid
multicollinearity problem and to achieve high prediction accuracy and
compression rate. The method is applied on MRI and CT images. Results show that
the proposed approach gives a high compression rate for MRI and CT images
comparing with state of the art methods.
