Dynamic Web-Based 2D Medical Image Visualization and Processing Software

Authors: Abdelhalim. N. Mohammed, Mohammed. Y. Esmail

Abstract:

In the course of recent decades, medical imaging has been dominated by the use of costly film media for review and archival of medical investigation, however due to developments in networks technologies and common acceptance of a standard digital imaging and communication in medicine (DICOM) another approach in light of World Wide Web was produced. Web technologies successfully used in telemedicine applications, the combination of web technologies together with DICOM used to design a web-based and open source DICOM viewer. The Web server allowance to inquiry and recovery of images and the images viewed/manipulated inside a Web browser without need for any preinstalling software. The dynamic site page for medical images visualization and processing created by using JavaScript and HTML5 advancements. The XAMPP ‘apache server’ is used to create a local web server for testing and deployment of the dynamic site. The web-based viewer connected to multiples devices through local area network (LAN) to distribute the images inside healthcare facilities. The system offers a few focal points over ordinary picture archiving and communication systems (PACS): easy to introduce, maintain and independently platforms that allow images to display and manipulated efficiently, the system also user-friendly and easy to integrate with an existing system that have already been making use of web technologies. The wavelet-based image compression technique on which 2-D discrete wavelet transform used to decompose the image then wavelet coefficients are transmitted by entropy encoding after threshold to decrease transmission time, stockpiling cost and capacity. The performance of compression was estimated by using images quality metrics such as mean square error ‘MSE’, peak signal to noise ratio ‘PSNR’ and compression ratio ‘CR’ that achieved (83.86%) when ‘coif3’ wavelet filter is used.

Keywords: DICOM, discrete wavelet transform, PACS, HIS, LAN.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2022735

References:

[1] R. S. Weinstein, A. M. Lopez, B. A. Joseph, K. A. Erps, M. Holcomb, G. P. Barker and E. A. Krupinski, "Telemedicine, telehealth, and mobile health applications that work: opportunities and barriers," the American journal of medicine, vol. 127, no. 3, pp. 183-7, 2014.
[2] I. D. G. Tonkovic, "Interactive Teleradiology," in World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, September 7 - 12, 2009.
[3] E. Seeram, "Irreversible compression in digital radiology. A literature review," Radiography, vol. 12, no. 1, pp. 45-59, 2006.
[4] M. J. M. B. Neelu Dubey, "Applications of Wavelet Transform in Registration, Segmentation, Denoising, and Compression of Medical Images," in Proceedings of All India Seminar on Biomedical Engineering 2012 (AISOBE 2012, India, pringer, 2012, pp. 117-130.
[5] S. S. K Vidhya, "A Two Component Medical Image Compression Technique," nternational Journal of Recent Trends in Engineering, vol. 1, no. 1, p. 591, 2009.
[6] O. B. C. R. M. S. a. L. D. Josep Fernàndez-Bayó, "Distributing Medical Images with Internet Technologies: A DICOM Web Server and a DICOM Java Viewer," RadioGraphics, vol. 20, no. 2, pp. 581-590, 2000.
[7] W.-J. L.-Y. Y.-L. L.-M. L.-T. C.-J. Chen, "Establishing a Web-Based DICOM Teaching File Authoring Tool Using Open-Source Public Software," Journal of Digital Imaging, vol. 18, no. 3, pp. 169-175, 2005.
[8] V. K. Bairagi, "Symmetry-Based Biomedical Image Compression," Journal of Digital Imaging, vol. 28, no. 6, p. 718–726, December 2015.
[9] J. R. Shivani Jain, "Image Enhancement Using Wavelet," International Journal of Innovative Research in Computer and Communication Engineering, vol. 2, no. 5, pp. 4131 - 4137, 2014.
[10] H. K. Huang, "Teleradiology technologies and some service models," Computerized Medical Imaging and Graphics, vol. 20, no. 2, pp. 59-68, 1996.