Here we provide a novel method to detect whether the image is modified by any other process. We extract the feature of HRBT or HRBD to medical image. It will give to further process. Depending on the image modality and as well as on the type of modification, HRBT and HRBD features are extracted. At least, this experiment points out that can be exploited for verifying blindly the integrity of medical images. Performance evaluation, conducted in application to different medical image modalities, shows that these image features can help, independently or jointly, to blindly distinguish image processing or modifications with a detection rate greater than 70%. They also underline the complementarity of these features. In this paper, we have shown that blind forensics approaches, initially proposed for general public images, can also be used in medical imaging. Without taking care of the signal specificities, good detection rates are already achieved. We have also shown that HRBD features, originally proposed for natural image steganalysis, complemented with new HRBD features can serve blind detection of global image modification and, furthermore, for determining the nature of the modification one image may have undergone. Depending on the image modality and as well as on the type of modification. At least, this experiment points out that image moment theory can be exploited for verifying blindly the integrity of medical images.