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Automatic quantification and 3D visualisation of edema in cardiac MRI

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

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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.

Item type: Book Section
ID code: 33272
Keywords: image segmentation, image visualization, cardiac image analysis , Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
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Depositing user: Pure Administrator
Date Deposited: 27 Sep 2011 16:22
Last modified: 09 May 2014 05:22
URI: http://strathprints.strath.ac.uk/id/eprint/33272

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