Abstract
Background: Major reason of mortality all around the world is cardiac disorders. Eminent progress of medical physics for imaging and exceptional benefits of MRI makes it a frequently used tool for examination and diagnosis of suspected cardiac abnormalities.
Discussion: This article discusses characteristics of cardiac MR short axis images. Secondly, this study explains existing semi-automatic and automatic techniques for segmenting left ventricle from short axis cardiac MR images. The survey deeply explains the performance of automatic techniques of left ventricle segmentation figuring their results and comparison with other techniques. The aim of automatic segmentation is to reproduce accurate images and highlight mortality and morbidity problems by exact assessment of cardiac left ventricle functions in the case of cardiac afflictions.
Conclusion: The study focuses and combines the modern approaches and proposed techniques of CMR-LV segmentation which automatically analyze and evaluate segmented CMR images.
Keywords: Cardiac MRI, end-systolic volume, end-diastolic volume, image processing, left ventricle short axis image, left ventricle segmentation.
Graphical Abstract
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