Automatic quantification and 3D visualisation of edema in cardiac MRI

K Kushsairy Bin Abdul Kadir, Hao Gao, John Soraghan, Alex Payne

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

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.
LanguageEnglish
Title of host publicationProceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11).
Place of PublicationBoston, USA
PublisherIEEE
Pages8021-8024
Number of pages4
Publication statusPublished - 2011

Fingerprint

Magnetic resonance imaging
Visualization
Muscle
Tissue
Planning

Keywords

  • image segmentation
  • image visualization
  • cardiac image analysis

Cite this

Kushsairy Bin Abdul Kadir, K., Gao, H., Soraghan, J., & Payne, A. (2011). Automatic quantification and 3D visualisation of edema in cardiac MRI. In Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11). (pp. 8021-8024). Boston, USA: IEEE.
Kushsairy Bin Abdul Kadir, K ; Gao, Hao ; Soraghan, John ; Payne, Alex. / Automatic quantification and 3D visualisation of edema in cardiac MRI. Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11).. Boston, USA : IEEE, 2011. pp. 8021-8024
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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.",
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Kushsairy Bin Abdul Kadir, K, Gao, H, Soraghan, J & Payne, A 2011, Automatic quantification and 3D visualisation of edema in cardiac MRI. in Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11).. IEEE, Boston, USA, pp. 8021-8024.

Automatic quantification and 3D visualisation of edema in cardiac MRI. / Kushsairy Bin Abdul Kadir, K; Gao, Hao; Soraghan, John; Payne, Alex.

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11).. Boston, USA : IEEE, 2011. p. 8021-8024.

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

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Kushsairy Bin Abdul Kadir K, Gao H, Soraghan J, Payne A. Automatic quantification and 3D visualisation of edema in cardiac MRI. In Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11).. Boston, USA: IEEE. 2011. p. 8021-8024