Digital Imaging and Communications in Medicine (DICOM) is a standard image format for distribution and viewing of medical images from different modalities. For transmitting the medical images over the internet and for storing for future use, different compression techniques have been employed. This paper addressed most of the existing DICOM image compression techniques and studied the performance of the respective compression algorithms using visual inspection method and verified quantitatively in terms of compressed file size, compression ratio, PSNR and MSSIM.Finally, the optimum compression technique found from this study has been discussed in terms of the visual perception and performance metrics.
To improve the visualization of severities in blood vessels combined Smoothing and straightening of a blood vessel was attempted for effective diagnosis of tumors and platelet formation in blood vessels. Method: Fast gradient projection method was used for removing the Rician noise present in MR images. The smoothed image was extracted using the binarization technique and the extracted blood vessels are straightened using a tangent function. Result: These techniques were tested in a variety of MR images and the results of this study reveal that the proposed method removed the Rician noise without affecting the diagnostic details and compared with existing methods quantitatively, extracted and straightened the blood vessels for making a clear decision about the severity of the disease. Conclusion: The smoothed, extracted and straightened images are very much useful for the diagnosis of tissue characterization and tumor detection.
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