Obtaining high quality images is very important in many areas of applied sciences, such as medical imaging, optical microscopy, and astronomy. Image reconstruction can be considered as solving the ill-posed and inverse problem y = Ax+n, where x is the image to be reconstructed and n is the unknown noise. In this paper, we propose general robust expectation maximization (EM)-Type algorithms for ...

In this series we present a quiz about identification of salient and important anatomical landmarks present at a given level on the computed tomography (CT) image. The representative image is followed by further images showing examples of various commonly encountered pathologies that can be seen at this level in clinical practice. Readers are expected to identify highlighted structures in all t...

The present paper proposes a new information interleaving process in which patient text information is embedded in his own medical image. Eleven attributes of patient are embedded inside the same patient medical images considering Magnetic Resonance Image, Angiogram and Computerized Tomography image of that patient body. Authors confirm that this new technique definitely relieve from over burde...