Research Status of Left Ventricle Segmentation Based on Active Contour
Model in Magnetic Resonance Imaging
XU Yang1a, XU Lisheng1a,b, LUO Yang1a,2, FENG Chaolu1b,c, KANG Ying1a, YANG Benqiang3
1.a.Sino-Dutch Biomedical and Information Engineering School; b.Key Laboratory of Medical Image Computing, Ministry of
Education; c.School of Computer Science and Engineering, Northeastern University, Shenyang Liaoning 110169, China;
2.Anshan Normal College, Anshan Liaoning 114016, China;
3.Department of Radiology, General Hospital of Shenyang Military Region, Shenyang Liaoning 110016, China
Abstract：Among cardiac imaging technologies, magnetic resonance imaging (MRI) is the most widely applied due to its advantages
of non-invasiveness, non-radiation and high resolution. Accurate segmentation of the left ventricle is the key to quantitative analysis
of cardiac structure and function. Therefore, the design of effective algorithms to achieve accurate segmentation of left ventricular is
of great significance for the early diagnosis and even prevention of cardiovascular diseases. As one of the popular methods, the active
contour model (ACM) indicates superior performances in medical image segmentation in recent years. This review summarized
the research results of ACM segmentation of left ventricular based on short axis MRI in recent 10 years. According to the different
representations of the contour curves, ACM was divided into the parametric and geometric active contours. According to the
characteristic of algorithms, improved algorithms of parametric ACM represented by Gradient Vector Flow and improved algorithms
of geometric ACM represented by Level Set were mainly reviewed respectively. Finally, the performances of the algorithms were
compared, and the research trends and challenges of the ACM segmentation of left ventricular algorithm were proposed, so that
readers can systematically understand the status of existing technologies and future development trend.
徐阳1a，徐礼胜1a,b，罗洋1a,2，冯朝路1b,c，康颖1a，杨本强3. 基于主动轮廓模型的磁共振图像左心室分割研究现状[J]. 中国医疗设备, 2018, 33(8): 1-6.
XU Yang1a, XU Lisheng1a,b, LUO Yang1a,2, FENG Chaolu1b,c, KANG Ying1a, YANG Benqiang3. Research Status of Left Ventricle Segmentation Based on Active Contour
Model in Magnetic Resonance Imaging. China Medical Devices, 2018, 33(8): 1-6.
