Abstract
AbstractThe localization of the left ventricle (LV) automatically from cardiac magnetic resonance images (CMRI) is an important initial step during segmentation to quantify global and regional volumetric functions of LV such as volume, mass, and ejection fraction. The exact quantification of these indicators results in an accurate system for cardiac disease detection. Conventionally, LV localization in magnetic resonance (MR) images is implemented manually by experts, which is a tedious task and time-consuming. This paper proposes an automated localization method for LV from the cardiac short-axis MR images. The technique applies a circular Hough transform (CHT) to localize the LV with optimized performance. The results revealed that the accuracy of the proposed technique is 89.5% based on the range radius of the LV circle.KeywordsLeft Ventricle (LV)LV localizationCardiac Magnetic Resonance Images (CMRI)Circular Hough Transform (CHT)
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