ROČEK, Aleš, Karel SLAVÍČEK and Michal JAVORNÍK. RONI Size and another Attributes of Representative Sample of Medical Images in Common Hospital Operation, Related to Securing by Watermarking Methods. In Prof. Osama Mohamed Mohamed Ahamed. International Conference on Image Processing, Production and Computer Science (ICIPCS'16). London: URENG, 2016, p. 44-51. ISBN 978-93-84422-62-2.
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Basic information
Original name RONI Size and another Attributes of Representative Sample of Medical Images in Common Hospital Operation, Related to Securing by Watermarking Methods
Authors ROČEK, Aleš (203 Czech Republic, guarantor, belonging to the institution), Karel SLAVÍČEK (203 Czech Republic, belonging to the institution) and Michal JAVORNÍK (203 Czech Republic, belonging to the institution).
Edition London, International Conference on Image Processing, Production and Computer Science (ICIPCS'16), p. 44-51, 8 pp. 2016.
Publisher URENG
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14610/16:00087606
Organization unit Institute of Computer Science
ISBN 978-93-84422-62-2
Keywords in English Communication; database; DICOM; education; medical images; ROI; RON; security; watermarking
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Ing. Aleš Roček, Ph.D., učo 205054. Changed: 24/3/2017 09:50.
Abstract
Medical institutions adapt digital based archiving of patients records images to fulfil its advantages like availability, easy sharing, high resolution etc. Digital form of records brings apart from advantages also disadvantages at security risks. It is easier attacking, stealing, using without authorization etc. This article deals with this security issue. It names methods of medical image watermarking and compares their plus and cons. Concept of Zero-reversible watermarking, that combine advantages of described methods, is proposed. Four purpose of this concept, there are examined and statistically compared attributes of medical images in a huge database (60 000 images) of medical records from various field and modalities like resolution, bit depth, coloring. This database could be considered as a representative sample of medical images in common hospital operation. Method for finding of minimum size of Region of Non-Interest (RONI) in the images from different types is presented. Results for whole database and certain modalities are depicted.
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