A LEVEL-SET APPROACH FOR TRACKING OBJECTS IN IMAGE SEQUENCES USING A LEVEL CONSERVATION CONSTRAINT: APPLICATION TO CARDIAC SEQUENCES

被引:0
|
作者
Dietenbeck, T. [1 ,2 ,3 ,4 ,5 ,6 ,7 ]
Barbosa, D. [3 ,4 ,5 ,6 ,7 ,8 ]
Alessandrini, M. [8 ]
D'hooge, J. [8 ]
Friboulet, D. [3 ,4 ,5 ,6 ,7 ]
Bernard, O. [3 ,4 ,5 ,6 ,7 ]
机构
[1] Univ Auvergne, Clermont Univ, ISIT, F-63000 Clermont Ferrand, France
[2] CNRS, UMR6284, F-63000 Clermont Ferrand, France
[3] Univ Lyon, CREATIS, Lyon, France
[4] CNRS, UMR5220, F-75700 Paris, France
[5] INSERM, U1044, F-75654 Paris 13, France
[6] INSA Lyon, Lyon, France
[7] Univ Lyon 1, F-69622 Villeurbanne, France
[8] Katholieke Univ Leuven, Cardiovasc Imaging & Dynam, Leuven, Belgium
关键词
Segmentation; tracking; active contour; level-set; shape prior; motion prior; cardiac imaging; SEGMENTATION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Tracking of moving objects in an image sequence is an important task in many application (e.g. medical imaging, robotics). However, this task is usually difficult due to inherent problems that could happen in sequences (i.e. possible occlusion of the object, large interframe motion). In this paper, we describe a new approach to integrate a priori motion information into a level-set-based active contour approach. Specifically, we introduce a new constraint that enforces the conservation of the levels of the implicit function along the image sequence. This constraint is formulated as a motion prior energy and is used in a tracking algorithm. The method is validated quantitatively on a clinical application based on 10 echocardiographic and 5 cine-MRI sequences (approximate to 700 images).
引用
收藏
页码:863 / 866
页数:4
相关论文
共 50 条
  • [1] Segmentation and tracking of the cardiac muscle in echocardiographic sequences using a level set approach
    Dydenko, I
    Friboulet, D
    Magnin, IE
    D'hooge, J
    Bijnens, B
    2003 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2, 2003, : 21 - 24
  • [2] Tracking multiple moving objects using a level-set method
    Chang, CJ
    Hsieh, JW
    Chen, YS
    Hu, WF
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2004, 18 (02) : 101 - 125
  • [3] A level-set approach to image blending
    Whitaker, RT
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2000, 9 (11) : 1849 - 1861
  • [4] Image segmentation using a multilayer level-set approach
    Chung, Ginmo
    Vese, Luminita A.
    COMPUTING AND VISUALIZATION IN SCIENCE, 2009, 12 (06) : 267 - 285
  • [5] A PDE-based level-set approach for detection and tracking of moving objects
    Paragios, NK
    Deriche, R
    SIXTH INTERNATIONAL CONFERENCE ON COMPUTER VISION, 1998, : 1139 - 1145
  • [6] Unsupervised video objects detection and tracking using region based level-set
    Khraief, Chadia
    Bourouis, Sami
    Hamrouni, Kamel
    2012 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2012, : 201 - 206
  • [7] A level-set based approach to image registration
    Vemuri, BC
    Ye, J
    Chen, Y
    Leonard, CM
    IEEE WORKSHOP ON MATHEMATICAL METHODS IN BIOMEDICAL IMAGE ANALYSIS, PROCEEDINGS, 2000, : 86 - 93
  • [8] MULTIVIEW MYOCARDIAL TRACKING IN ECHOCARDIOGRAPHIC 2D SEQUENCES USING SHAPE AND MOTION CONSTRAINED LEVEL-SET
    Dietenbeck, T.
    Barbosa, D.
    Alessandrini, M.
    Jasaityte, R.
    Robesyn, V.
    D'hooge, J.
    Friboulet, D.
    Bernard, O.
    2013 IEEE 10TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2013, : 1022 - 1025
  • [9] Image magnification using level-set reconstruction
    Morse, BS
    Schwartzwald, D
    2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2001, : 333 - 340
  • [10] Application of SGRBF for Level-Set Based Image Segmentation
    Zhu, Yingxuan
    Shin, Miyoung
    Goel, Amrit L.
    IMAGE PROCESSING: ALGORITHMS AND SYSTEMS VII, 2009, 7245