Atlas Web de acceso abierto de imágenes médicas para compartir, analizar, procesar y buscar en Web Semántica imágenes médicas con aplicaciones en entrenamiento, investigación y segunda opinión de casos en salud

An Open-Access Web-based Medical Image Atlas for Collaborative Medical Image Sharing, Processing, Web Semantic Searching and Analysis with Uses in Medical Training, Research and Second Opinion of Cases

Objective: Development of a Web-based atlas for collaborative image sharing, processing and analysis of diagnostic images. Materials and Methods: Use of Web 2.0 Personalized Learning Environment tools for social learning and knowledge construction and sharing. Results: The platform allows registered users to upload, visualize, process and comment medical images in a collaborative manner. The system contains a social network module for open case discussion, a video conference and webinar module for real time case analysis, and an image visualization, annotation and processing module for image analysis.  The developed open-access platform serves as a large community-created and validated free-repository of diagnostic medical images to be used for training, research as well as reference and second opinion of cases.

1. Dragan D, Ivetic D. Request redirection paradigm in medical image archive implementation. In: Computer Methods and Programs in Biomedicine. 2012; 107: 111-121.
2. Kotter E, Baumann T, Jager D, Langer M. Technologies for image distribution in hospitals. In: European Radiology. 2006; 16:1270-1279.
3. DICOM, Digital Imaging and Communications in Medicine, ACR (the American College of Radiology) and NEMA (the National Electrical Manufacturers Association), http://medical.nema.org/standard.html
4. Dayhoff R. A Medical image database system. In: Computers in Healthcare. 1988; 9 (12): 39.
5. Weidong C, Dagan F, Fulton R. Web-Based Digital Images. In: IEEE Computer Graphics and Applications. 2001: 21(1): 44-47.
6. Shena H, Maa D, Zhao, et al, MIAPS: A web-based system for remotely accessing and presenting medical images. In: Comput Methods Programs Biomed. 2014; 113(1):266-83
7. Armato S., McLennan G, et al. Lung Image Database Consortium: Developing a Resource for the Medical Imaging Research Community. In: Radiology, 2004 Sept; 22(3): 739-48.
8. King C. Images. MD-The Online Encyclopedia of Medical Images. In: Journal of Electronic Resources in Medical Libraries. 2009; 6:163-168.
9. http://www.dermnet.com/http://www.ultrasoundcases.info/
10. http://www.ultrasoundcases.info/
11. http://www.ultrasound-images.com/
12. US Centers for Disease Control and Prevention. http://www.cdc.gov/dpdx/malaria/gallery.html#pfalringformtrophs
13. National Institutes of Health, National Cancer Institute, National Biomedical Imaging Archive accessible at https://imaging.nci.nih.gov/ncia/login.jsf
14. Clark K, Gierada D, et al. Creation of a CT Image Library for the Lung Screening Study of the National Lung Screening Trial. In: Journal of Digital Imaging. 2007; 20(1): 23-31.
15. National Institutes of Health, Center for Information Technology, MIPAV. http://mipav.cit.nih.gov/
16. Niinimaki M1, Zhou X, De la Vega E, Cabrera M, Muller H. A web service for enabling medical image retrieval integrated into a social medical image sharing platform. In: Stud Health Technol Inform. 2010; 160 (Pt 2): 1273-6.
17. Hong S H, Lee S J. An Intelligent Web Digital Image Metadata Service Platform for Social Curation. In: Modelling and Simulation in Engineering. Article IS 651428. In Press 2014
18. Stathopoulos S, Kalamboukis T. Applying latent semantic analysis to large-scale medical image databases. In: Comput Med Imaging Graph. 2015; 39:27-34.
19. Tagare H, Jaffe C, Duncan J, Medical Image Databases: A Content-based Retrieval Approach. In: Journal of the American Medical Informatics Association. 1997; 4(3):184-98
20. Park S C, Sukthankar R, et al. Optimization of reference library used in content-based medical image retrieval scheme. In: Med. Phys. 2007; 34(11):4331-4339
21. Turinsky A, Stromer J, et al. Integration of Genomic and Medical Data into a 3D Atlas of Human Anatomy. In: Stud Health Technol Inform. 2008; 132:526-31
22. Mendi E, Bayrak C, et al. Content-Based Management Service for Medical Videos. In: Telemedicine and e-Health. January 2013; 19(1):36-41
23. Wang K, Jeanmenne A, et al, An Online Evidence-Based Decision Support System for Distinguishing Benign from Malignant Vertebral Compression Fractures by Magnetic Resonance Imaging Feature Analysis. In: Journal of Digital Imaging. 2011; 24(3):507-515.
24. Hasselberg M, Beer N, et al. Image-Based Medical Expert Teleconsultation in Acute Care of Injuries. A Systematic Review of Effects on Information Accuracy, Diagnostic Validity, Clinical Outcome, and User Satisfaction. In: PLoS ONE. 2014; 9(6): 1-16.
25. Venkatram N, Reddy L., et al. RSA-DWT Based Medical Image Watermarking for Telemedicine Applications. In: Journal of Theoretical and Applied Information technology. July 31, 2014: 65 ( 3): 801-813.
26. Moule P, Ward R, Lockyer L. Nursing and healthcare students experiences and use of e-learning in higher education. In: Journal of Advanced Nursing. 2010; 66(12):2785-2795
27. Moule P, E-learning for healthcare students: developing the communities of practice framework, 370. In: Journal of Advanced Nursing. 2006; 54(3):370-380.
28. Baltasar A, González-Sistal A. Design of a Web-Tool for Diagnostic Clinical Trials Handling Medical Imaging Research, Journal of Digital Imaging. April 2011; 24(2):196-202.
29. Wollny G, Kellman P, et al. MIA - A free and open source software for gray scale medical image analysis. In: Source Code for Biology and Medicine. 2013; 8:20
30. Caban J., Joshi A. and Paul N. Rapid Development of Medical Imaging Tools with Open-Source Libraries. In: Journal of Digital Imaging. 2007; 20(1): 83-93
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32. DOI: http://dx.doi.org/10.22490/24629448.1044