Compressing the medical images is one of the challenging areas in healthcare industry which calls for an effective design of the compression algorithms. The conventional compression algorithms used on medical images doesn’t offer enhanced computational capabilities with respect to faster processing speed and is more dependent on hardware resources. The present paper has identified the potential usage of Vedic mathematics in the form of Urdhava Tiryakbhyam sutra, which can be used for designing an efficient multiplier that can be used for enhancing the capabilities of the existing processor to generate enhance compression experience. The design of the proposed system is discussed with respect to 5 significant algorithms and the outcome of the proposed study was testified with heterogeneous samples of medical image to find that proposed system offers approximately 57% of the reduction in size without any significant loss of data.

Medical image data (Ultrasonography, Computed Tomography, Magnetic Resonance Imaging etc.) consumes maximum storage and utilize maximum bandwidth for transmission that often results in degradation of image quality. Due to these inherent issues in such type of images, compression is the only applicable technique explored in the due course of prior research work. Currently, there exists abundant research work on medical image compression considering lossy and lossless types, but the need of medical images to be compressed efficiently with optimal compression ratio is yet a question mark. This paper will perform an investigation of various techniques explored and discusses some of the efficient techniques explicitly among all the prior work. While reviewing the prior literatures, it was explored that although medical image compression is an emerging need, but it encounters higher dimensionality of challenges and complicatedness for catering the increasing demands of the medical science.

Compressing the medical images is one of the challenging areas in healthcare industry which calls for an effective design of the compression algorithms. The conventional compression algorithms used on medical images doesn’t offer enhanced computational capabilities with respect to faster processing speed and is more dependent on hardware resources. The present paper has identified the potential usage of Vedic mathematics in the form of Urdhava Tiryakbhyam sutra, which can be used for designing an efficient multiplier that can be used for enhancing the capabilities of the existing processor to generate enhance compression experience. The design of the proposed system is discussed with respect to 5 significant algorithms and the outcome of the proposed study was testified with heterogeneous samples of medical image to find that proposed system offers approximately 57% of the reduction in size without any significant loss of data.

The presence of free air within the peritoneal cavity is known as pneumoperitoneum. In 85% to 90% of cases pneumoperitoneum is due to perforated bowel of various aetiology which includes perforated peptic ulcer, typhoid, trauma, perforated tumour etc. We are reporting is a rare case of pneumoperitoneum resulting from a ruptured liver abscess in a young male with no comorbidity. A 28 year old male presented to the casualty of RL Jalappa Hospital and Research Centre with diffuse pain abdomen. Clinically it was sus-pected as peritonitis secondary to hollow viscus perforation. Erect abdomen X-Ray showed air under dia-phragm. Exploratory laparotomy was performed. On table it was found to be a case of ruptured liver abscess for which marsupialization and thorough peritoneal lavage was given. Culture of the pus from the liver ab-scess revealed Klebsiella sensitive to Piperacillin and Tazobactam, and antibiotic treatment was adminis-tered. Conclusion: Although pneumoperitoneum resulting from a ruptured liver abscess is rare, it must be kept in mind as a possible source, especially when the hollow organs are normal. Key words: Ruptured abscess, Pneumoperitoneum, Klebsiella, Erect Abdomen X-ray