Eto Y,Yamada H,Shin J H,et al. Automated mitral annular tracking: a novel method for evaluating mitral annular motion using two dimensional echocardiography[J]. AM Soc Echocardiogr, 2005, 18(4):306-312.
[2]
Pai R G,Bodenheimer M M,Pai S M,et al. Usefulness of systolic excursion of the mitral annulus as an index of left ventricular systolic function[J]. The American Journal of Cardiology, 1991, 67(2):222-224.
[3]
Willenheimer R,Israelsson B,Cline C,et al. Left atrioventricular plane displacement is related to both systolic and diastolic left ventricular performance in patients with chronic heart failure[J]. Eur. Heart J., 1999,20(8):612- 618.
[4]
Nevo S T,Van Stralen M,Vossepoel A M,et al. Automated tracking of the mitral valve annulus motion in apical echocardiographic images using multidimensional dynamic programming[J]. Ultrasound Med, Biol., 2007,33(9):1389-1399.
[5]
Takemoto Y,Hozumi T,Sugioka K,et al. Automated three-dimensional analysis of mitral annular dynamics in patients with myocardial infarction using automated mitral annular tracking method[J]. Echocardiography, 2006,23(8):658-665.
[6]
Veronesi F,Corsi C,Caiani E,et al. Semi-automatic tracking for mitral annulus dynamic analysis using real-time 3D echocardiography[J]. Computers in Cardiology, 2006,33:113-116.
[7]
Schneidera R J,Perrina D P, Vasilyevb N V, et al. Mitral annulus segmentation from four-dimensional ultrasound using a valve state predictor and constrained optical flow[J]. Medical Image Analysis, 2012,16(2):497-504.
[8]
Schneider R,Perrin D,Vasilyev N,et al. Mitral annulus segmentation from 3D ultrasound using graph cuts[J]. IEEE Trans. on Med. Imaging, 2010,29(9):1676-1687.
[9]
Maji S,Berg A C,Malik J. Efficient classification for additive kernel SVMs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(1):66-77.
[10]
Maji S,Berg A C,Malik J. Classification using intersection kernel support vector machines is efficient[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Anchorage, AK: IEEE,2008:1-8.
[11]
He D C,Wang L. Texture unit, texture spectrum,and texture analysis,geoscience and remote sensing[J]. IEEE Transactions Geoscience and Remote Sensing, 1990,28(4):509-512.
[12]
Wang L,He D C. Texture classification using texture spectrum[J]. Pattern Recognition,1990,23(8):905-910.
[13]
Heisele B,Serre T,Prentice S,et al. Hierarchical classification and feature reduction for fast face detection with support vector machines[J]. Pattern Recognition,2003,36(9):2007-2017.
[14]
Tu Z W,Bai X. Auto-Context and its application to high-level vision tasks and 3D brain image segmention[J]. IEEE Transactions on pattern Analysis and Machine Intelligence, 2010,32(10):1744-1757.