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An Efficient Middle Layer Platform for Medical Imaging Archives
Joint Authors
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Digital medical image usage is common in health services and clinics.
These data have a vital importance for diagnosis and treatment; therefore, preservation, protection, and archiving of these data are a challenge.
Rapidly growing file sizes differentiated data formats and increasing number of files constitute big data, which traditional systems do not have the capability to process and store these data.
This study investigates an efficient middle layer platform based on Hadoop and MongoDB architecture using the state-of-the-art technologies in the literature.
We have developed this system to improve the medical image compression method that we have developed before to create a middle layer platform that performs data compression and archiving operations.
With this study, a platform using MapReduce programming model on Hadoop has been developed that can be scalable.
MongoDB, a NoSQL database, has been used to satisfy performance requirements of the platform.
A four-node Hadoop cluster has been built to evaluate the developed platform and execute distributed MapReduce algorithms.
The actual patient medical images have been used to validate the performance of the platform.
The processing of test images takes 15,599 seconds on a single node, but on the developed platform, this takes 8,153 seconds.
Moreover, due to the medical imaging processing package used in the proposed method, the compression ratio values produced for the non-ROI image are between 92.12% and 97.84%.
In conclusion, the proposed platform provides a cloud-based integrated solution to the medical image archiving problem.
American Psychological Association (APA)
Ergüzen, Atilla& Erdal, Erdal. 2018. An Efficient Middle Layer Platform for Medical Imaging Archives. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1187221
Modern Language Association (MLA)
Ergüzen, Atilla& Erdal, Erdal. An Efficient Middle Layer Platform for Medical Imaging Archives. Journal of Healthcare Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1187221
American Medical Association (AMA)
Ergüzen, Atilla& Erdal, Erdal. An Efficient Middle Layer Platform for Medical Imaging Archives. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1187221
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187221