Automatic Left Ventricle Segmentation in Cardiac Magnetic Resonance Images via Threshold Selection | |
Wang ZZ(王振洲); Yang YM(杨永明); Xiong JJ(熊晶晶) | |
2017 | |
会议日期 | July 31 - August 4, 2017 |
会议地点 | Hawaii, USA |
页码 | 1653-1658 |
英文摘要 | In medical diagnosis, the movement of the myocardium of left ventricle (LV) can represent the pump function of the heart, which can provide the basis for diagnosis of heart diseases. Magnetic resonance imaging (MRI) is an effective tool for the clinical diagnosis of heart diseases due to its special imaging mechanism, which is particularly effective for soft tissue such as heart. Identification of the LV endocardium, especially the apical and basal slice images and some special mid-ventricular slice images with poor image quality, is still a very challenging and open problem. In this paper, an automatic segmentation method based on threshold is proposed. This method works well in some mid-ventricular slices with poor image quality and some ventricle slices with messy edge. We tested the proposed method with other 15 popular segmentation algorithms by ten frames of Cardiac MRI at end systole (ED) or end diastole (ES) phases. Those frames of images are difficult to segment the LV endocardium from Medical Image Computing and Computer Assisted Intervention (MICCAI) 2009 challenge. Those frames of images are from apical and basal slices or mid-ventricular slices that are difficult to segment the LV endocardium. Finally, we assessed the deviation between the automatically segmented and benchmark manual contours. The proposed method achieved 0.9384 average Dice metric, 1.2715 mm average perpendicular distance (APD). These results compared with other algorithms demonstrate that the proposed method is an effective and viable method to identify the LV endocardium at ED and ES phases. |
源文献作者 | IEEE Robotics and Automation Society |
产权排序 | 1 |
会议录 | 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017 |
会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISBN号 | 978-1-5386-0489-2 |
WOS记录号 | WOS:000447628700299 |
内容类型 | 会议论文 |
源URL | [http://ir.sia.cn/handle/173321/22840] |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Wang ZZ(王振洲) |
作者单位 | Shenyang Institute of Automation, Chinese Academy of Sciences, China |
推荐引用方式 GB/T 7714 | Wang ZZ,Yang YM,Xiong JJ. Automatic Left Ventricle Segmentation in Cardiac Magnetic Resonance Images via Threshold Selection[C]. 见:. Hawaii, USA. July 31 - August 4, 2017. |
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