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%.
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%.
Original language | English |
---|---|
Title of host publication | Computing in Cardiology |
Pages | 233-236 |
Number of pages | 4 |
Publication status | Published - 2010 |
Keywords
- automatic quanification
- oedema
- CMR images