Segmentation Method of Base of Left Ventricle in Cardiac Magnetic Resonance Images
XU Li-sheng1,2， GUO Zeng-zhi1， TAN Wen-jun2， WANG Lu3
1. School of Sino-Dutch Biomedical & Information Engineering， Northeastern University， Shenyang 110169， China; 2. Key Laboratory of Medical Image Computing， Ministry of Education， Northeastern University， Shenyang 110169， China; 3. School of Computer Science & Engineering， Northeastern University， Shenyang 110169， China.
XU Li-sheng， GUO Zeng-zhi， TAN Wen-jun， WANG Lu. Segmentation Method of Base of Left Ventricle in Cardiac Magnetic Resonance Images[J]. Journal of Northeastern University Natural Science, 2017, 38(10): 1383-1387.
[1]Petitjean C，Dacher J N.A review of segmentation methods in short axis cardiac MR images［J］. Medical Image Analysis，2011， 15( 2):169-184. [2]Hu H，Liu H，Gao Z，et al.Hybrid segmentation of left ventricle in cardiac MRI using Gaussian-mixture model and region restricted dynamic programming［J］.Magnetic Resonance Imaging，2013，31(4):575-584. [3]周寿军，梁斌，陈武凡.心脏序列图像运动估计新方法:基于广义模糊梯度矢量流的形变曲线运动估计与跟踪［J］.计算机学报，2003，26(11):1470-1478.(Zhou Shou-jun，Liang Bin，Chen Wu-fan.A new approach to the motion estimation of cardiac image sequences:active coutour motion tracking based on the generalized fuzzy gradient vector flow［J］.Chinese Journal of Computers，2003，26(11):1470-1478.) [4]王元全，贾云得.一种新的心脏核磁共振图像分割方法［J］．计算机学报，2007，30(1):129-136.(Wang Yuan-quan，Jia Yun-de.A novel approach for segmentation of cardiac magnetic resonance images［J］.Chinese Journal of Computers，2007，30(1):129-136.) [5]Li C M，Huang R，Ding Z，et al.A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI［J］.IEEE Transactions on Image Processing，2011，20(7):2007-2016. [6]刘利雄，马忠梅，赵恒博，等.一种基于主动轮廓模型的心脏核磁共振图像分割方法［J］.计算机学报， 2012，35(1):146-153.(Liu Li-xiong，Ma Zhong-mei，Zhao Heng-bo，et al.A method for segmenting cardiac magnetic resonance images using active contours［J］.Chinese Journal of Computers，2012，35(1):146-153.) [7]Hadhoud M M，Eladawy M I，Farag A， et al.Left ventricle segmentation in cardiac MRI images［J］.American Journal of Biomedical Engineering， 2012， 2(3):131-135. [8]Li C M，Gore J C，Davatzikos C.Multiplicative intrinsic component optimization(MICO) for MRI bias field estimation and tissue segmentation［J］.Magnetic Resonance Imaging，2014，32(7):913-923. [9]Hu H，Gao Z，Liu L，et al.Automatic segmentation of the left ventricle in cardiac MRI using local binary fitting model and dynamic programming techniques［J］.Plos One，2014，9(12):e114760. [10]Dakua S P.AnnularCut:a graph-cut design for left ventricle segmentation from magnetic resonance images［J］.LET Image Processing，2014，8(1):1-11. [11]Wang L，Pei M，Codella N C F，et al.Left ventricle:fully automated segmentation based on spatiotemporal continuity and myocardium information in cine cardiac magnetic resonance imaging (LV-FAST)［J］.Biomed Research International，2014，15(1):1-9. [12]Tufvesson J，Hedstrm E，Steding-Ehrenborg K，et al.Validation and development of a new automatic algorithm for time-resolved segmentation of the left ventricle in magnetic resonance imaging［J］.Journal of Cardiovascular Magnetic Resonance，2015，17(1):1-3. [13]Avendi M R，Kheradvar A， Jafarkhani H.A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI［J］.Medical Image Analysis，2016，30:108-119. [14]Vincent L，Soille P.Watersheds in digital spaces:an efficient algorithm based on immersion simulations［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence，1991，13(6):538-598. [15]Cuisenaire O，Macq B.Fast Euclidean distance transformations by propagation using multiple neighbourhoods［J］.Computer Vision and Image Understanding，1999， 76(2):163-172. [16]MICCAI.LV segmentation challenge［EB/OL］.http://smial.sri.utoronto.ca/LV_Challenge/Data.html，2009-09-24.
