Why the study?
Can an automatic computer-based method estimate changes in left ventricular wall thickness to detect myocardial infarctions in cardiac MRI?
Can an automatic computer-based method estimate changes in left ventricular wall thickness to detect myocardial infarctions in cardiac MRI?
An automated method for estimating LV wall thickness changes from short-axis CMRI can localize myocardial infarctions without manual input.
May support automated MI localization via LV wall thickness on CMRI without manual input; hypothesis-generating and requires validation before clinical use.
We investigate automatic computer-based estimation of changes in left ventricular wall thickness in full short-axis MRI data. Changes in left ventricular wall thickness have been used for two patients to detect myocardium infarctions. At the first step the cardiac area is found in full short axis gadolinium enhanced cardiac MRI in diastolic and systolic states. After finding the left ventricular (LV) cavity we could estimate changes in LV wall thickness based on the changes in left ventricular areas in diastolic and systolic states. Myocardium infarctions are localized due to American Heart Association standard segmentations. Our method is completely automatic and there is no need for doing any steps manually.
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HajiRassouliha et al. (2009) studied this question.
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