Detailed Information on Publication Record
2016
RONI Size and another Attributes of Representative Sample of Medical Images in Common Hospital Operation, Related to Securing by Watermarking Methods
ROČEK, Aleš, Karel SLAVÍČEK and Michal JAVORNÍKBasic 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
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Confidentiality degree
není předmětem státního či obchodního tajemství
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
Tags
International impact, Reviewed
Změněno: 24/3/2017 09:50, Ing. Aleš Roček, Ph.D.
Abstract
V originále
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.
Links
TA01010268, research and development project |
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