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Left Ventricle Segmentation Algorithm through Radial Threshold Determination on Cardiac MRI  

Moon, Chang-Bae (금오공과대학교 컴퓨터공학부)
Lee, Hae-Yeoun (금오공과대학교 컴퓨터공학부)
Kim, Byeong-Man (금오공과대학교 컴퓨터공학부)
Shin, Yoon-Sik (금오공과대학교 컴퓨터공학부)
Publication Information
Journal of KIISE:Software and Applications / v.36, no.10, 2009 , pp. 825-835 More about this Journal
Abstract
The advance in medical technology has decreased death rates from diseases such as tubercle, pneumonia, malnutrition, and hepatitis. However, death rates from cardiac diseases are still increasing. To prevent cardiac diseases and quantify cardiac function, magnetic resonance imaging not harmful to the body is used for calculating blood volumes and ejection fraction(EF) on routine clinics. In this paper, automatic left ventricle(LV) segmentation is presented to segment LV and calculate blood volume and EF, which can replace labor intensive and time consuming manual contouring. Radial threshold determination is designed to segment LV and blood volume and EF are calculated. Especially, basal slices which were difficult to segment in previous researches are segmented automatically almost without user intervention. On short axis cardiac MRI of 36 subjects, the presented algorithm is compared with manual contouring and General Electronic MASS software. The results show that the presented algorithm performs in similar to the manual contouring and outperforms the MASS software in accuracy.
Keywords
Automatic Left Ventricle Segmentation; Radial Threshold Determination; Cardiac MRI;
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