Content dependent effect of H.264/AVC video compression on CT image quality

Wing Chi Chan, Derek So, Yolanda Shiu, David Sin, Ben Chan, Tao Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Image compression helps perfecting the utilization of limited storage and network resources for medical imaging. In many recent studies, H.264 video compression was deemed to be a promising option. This study was the first of its kind in studying the effect of H.264 compression on the image quality of the CT abdominal images acquired in 12-bit density resolution. In this study, 67 sets of abdominal CT scans were used for quantitative image quality analysis, and indicated that the H.264 algorithm worked on a content dependent manner, especially at high compression levels.
Original languageEnglish
Title of host publication2012 IEEE 14th International Conference on e-Health Networking, Applications and Services, Healthcom 2012
Pages172-177
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2012
Event2012 IEEE 14th International Conference on e-Health Networking, Applications and Services, Healthcom 2012 - Beijing, China
Duration: 10 Oct 201213 Oct 2012

Conference

Conference2012 IEEE 14th International Conference on e-Health Networking, Applications and Services, Healthcom 2012
Country/TerritoryChina
CityBeijing
Period10/10/1213/10/12

Keywords

  • abdomen
  • computed tomography
  • content dependency
  • image quality
  • Video compression

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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