Accessing Image Resolution and Frame Rate Effects in Radiology From a Human and Machine Point of View

Roland Ellerweg*, Peter Voigt, Tuomas Alhonnoro, Mika Pollari, Phil Weir

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

In teleradiology a vast amount of medical images is sent from one location to another location. If the network infrastructure between the locations is poor, users experience long download times or, if a client application is used, application lags. To solve this issue lossless compression algorithms can be used as a first option. Unfortunately these algorithms can only compress the data to a certain degree which is most of the time not enough for the heavy requirements in teleradiology. As a second option the image data can be compressed lossily by reducing the image quality. This however can have an impact on the work of the user and also on image processing tools, when the images are post-processed. In this contribution we give a first impression of frame rate and resolution effects on the work of both, humans and machines, using the example of tumor diagnosis.

Original languageEnglish
Title of host publication2016 IEEE 18TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES (HEALTHCOM)
PublisherIEEE
Pages590-595
Number of pages6
ISBN (Electronic) 978-1-5090-3370-6
DOIs
Publication statusPublished - 2016
MoE publication typeA4 Conference publication
EventInternational Conference on e-Health Networking, Applications and Services - Munich, Germany
Duration: 14 Sept 201616 Sept 2016
Conference number: 18

Conference

ConferenceInternational Conference on e-Health Networking, Applications and Services
Abbreviated titleHealthcom
Country/TerritoryGermany
CityMunich
Period14/09/201616/09/2016

Keywords

  • Experiment
  • Teleradiology
  • Human Factors
  • Human-Computer Interaction
  • PERFORMANCE

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