Medical image and video quality assessment in e-health applications and services

Author

Razaak, Manzoor ; Martini, Maria G.

Author_Institution

WMN Res. Group, Kingston Univ., Kingston upon Thames, UK

fYear

2013

fDate

9-12 Oct. 2013

Firstpage

6

Lastpage

10

Abstract

Healthcare services are increasingly using medical images and video in their applications. Quality assessment can be performed via image quality evaluation metrics. However, due to the specific nature of the associated data, quality evaluation of medical images poses several issues. In this paper, we provide an insight into medical image quality evaluation, by discussing the issues faced and the current trends in the literature. Based on the analysis of the medical and technical literature, three broad categories of quality evaluation metrics are presented. The different methodologies are compared in different environments and services and recommendations for future research are provided.

Keywords

health care; medical image processing; video signal processing; e-health application; e-health services; healthcare services; image quality evaluation metrics; medical image assessment; video quality assessment; Correlation; Distortion measurement; Image coding; Image quality; Medical diagnostic imaging; diagnostic accuracy; medical image quality evaluation; objective metrics; quality of experience; service science; subjective metrics;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th International Conference on

Conference_Location

Lisbon

Print_ISBN

978-1-4673-5800-2

Type

conf

DOI

10.1109/HealthCom.2013.6720628

Filename

6720628