Automatic quantification of oedema from T2 weighted CMR image using hybrid thresholding oedema sizing algorithm (HTOSA)

Kushsairy Bin Abdul Kadir, K and Payne, A. and Soraghan, John and Berry, C.; (2010) Automatic quantification of oedema from T2 weighted CMR image using hybrid thresholding oedema sizing algorithm (HTOSA). In: Computing in Cardiology. UNSPECIFIED, pp. 233-236.

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Abstract

Oedema is fluid retention within the myocardial tissue due to damage tissue causing swelling in the affected area after myocardial infarction (MI). Quantification of oedema area after an MI is an important step in medical prognosis to differentiate between viable and death myocardial tissue. In this paper a novel technique of Hybrid Thresholding Oedema Sizing Algorithm (HTOSA) is presented. To quantify the oedema a hybrid technique based on combination of morphological operation combined with statistical thresholding is used. The performance of the method was tested on real T2 weighted MRI data. The quantitative result of the automatic method compare to manual segmentation by a skill clinician is very encouraging with correlation score of 81.1%.

ORCID iDs

Kushsairy Bin Abdul Kadir, K, Payne, A., Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391 and Berry, C.;
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