Automatic quantification and 3D visualisation of edema in cardiac MRI

Kushsairy Kadir, Hao Gao, Alex Payne, John Soraghan, Colin Berry

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

Abstract

Viability assessment of heart muscle after a myocardial infarction is an important step for diagnosis and therapy planning. It is important to quantify the area of edema because it can differentiate between viable and death myocardial tissues. In this paper an automatic method to quantify cardiac edema is presented. The method is based on a combination of morphological operations and statistical thresholding. Using real MRI data it is demonstrated that the proposed method can delineate edema region comparable to manual segmentation with a linear correlation coefficient r=0.76 and the mean difference is around 9.95%. The quantification result is also used to generate 3D visualisation model showing normal myocardial wall and edema region, which will enhance clinician diagnosis capability with real pattern of edema distribution and quantitative description.
Original languageEnglish
Title of host publication2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages8021-8024
Number of pages4
ISBN (Electronic)9781457715891, 9781424441228
ISBN (Print)9781424441211
DOIs
Publication statusPublished - 1 Dec 2011
Event2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, United States
Duration: 30 Aug 20113 Sept 2011

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE
Volume2011
ISSN (Print)1094-687X
ISSN (Electronic)1558-4615

Conference

Conference2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/TerritoryUnited States
CitySan Diego
Period30/08/113/09/11

Keywords

  • image segmentation
  • image visualization
  • cardiac image analysis

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