D 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 JAVORNÍK

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

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
Name: Bezúdržbový PACS server pro menší zdravotnické organizace