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 8...
Abstract Background T2-weighted cardiovascular magnetic resonance (CMR) has been shown to be a promi...
Cardiac magnetic resonance (CMR) images are used to investigate the heart for medical and research p...
In this thesis four new algorithms are presented for automatic segmentation in cardiovascular magnet...
Oedema is fluid retention within the myocardial tissue due to damage tissue causing swelling in the ...
The jeopardised ischaemic area-at-risk (AAR) is a key prognostic determinant in acute myocardial inf...
<p>Background: T2-weighted cardiovascular magnetic resonance (CMR) is clinically-useful for imaging ...
Viability assessment of heart muscle after a myocardial infarction is an important step for diagnosi...
In this paper an automatic algorithm for the left ventricle (LV) wall segmentation and oedema quanti...
The extent of myocardial edema delineates the ischemic area-at-risk (AAR) after myocardial infarcti...
The aim of this study was to design a computer algorithm to assess the extent of cardiac edema from ...
Quantification of oedema area after acute myocardial infarction (MI) is very important in clinical p...
To re-evaluate a recently suggested approach of quantifying myocardial oedema and increased tissue i...
Quantification of oedema area after acute myocardial infarction (MI) is very important in clinical p...
Purpose: To compare global and regional myocardial in-farction (MI) measurements on clinical gadolin...
Quantification of myocardial edema and necrosis during acute myocardial infarct (MI) is crucial for ...
Abstract Background T2-weighted cardiovascular magnetic resonance (CMR) has been shown to be a promi...
Cardiac magnetic resonance (CMR) images are used to investigate the heart for medical and research p...
In this thesis four new algorithms are presented for automatic segmentation in cardiovascular magnet...
Oedema is fluid retention within the myocardial tissue due to damage tissue causing swelling in the ...
The jeopardised ischaemic area-at-risk (AAR) is a key prognostic determinant in acute myocardial inf...
<p>Background: T2-weighted cardiovascular magnetic resonance (CMR) is clinically-useful for imaging ...
Viability assessment of heart muscle after a myocardial infarction is an important step for diagnosi...
In this paper an automatic algorithm for the left ventricle (LV) wall segmentation and oedema quanti...
The extent of myocardial edema delineates the ischemic area-at-risk (AAR) after myocardial infarcti...
The aim of this study was to design a computer algorithm to assess the extent of cardiac edema from ...
Quantification of oedema area after acute myocardial infarction (MI) is very important in clinical p...
To re-evaluate a recently suggested approach of quantifying myocardial oedema and increased tissue i...
Quantification of oedema area after acute myocardial infarction (MI) is very important in clinical p...
Purpose: To compare global and regional myocardial in-farction (MI) measurements on clinical gadolin...
Quantification of myocardial edema and necrosis during acute myocardial infarct (MI) is crucial for ...
Abstract Background T2-weighted cardiovascular magnetic resonance (CMR) has been shown to be a promi...
Cardiac magnetic resonance (CMR) images are used to investigate the heart for medical and research p...
In this thesis four new algorithms are presented for automatic segmentation in cardiovascular magnet...