Automatic quantification and 3D visualisation of edema in cardiac MRI

Kadir, Kushsairy and Gao, Hao and Payne, Alex and Soraghan, John and Berry, Colin; (2011) Automatic quantification and 3D visualisation of edema in cardiac MRI. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . IEEE, USA, pp. 8021-8024. ISBN 9781424441228 (https://doi.org/10.1109/IEMBS.2011.6091978)

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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.

ORCID iDs

Kadir, Kushsairy, Gao, Hao, Payne, Alex, Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391 and Berry, Colin;
CORE (COnnecting REpositories)