Myocardial Motion Estimation Using Optical Flow with Multiple Constraint Equations

被引:0
作者
Wang, Liang [1 ]
Clarysse, Patrick [1 ]
Croisille, Pierre [1 ]
Girard, Patrick R. [1 ]
Delachartre, Philippe [1 ]
Liu, Zhengjun [2 ]
Liu, Wanyu [2 ]
机构
[1] Univ Lyon 1, CNRS, UMR 5220, CREATIS,INSA LYON,Inserm,U1044, F-69621 Villeurbanne, France
[2] Harbin Inst Technol, Dept Automat Measurement & Control, HIT INSA Sino French Res Ctr Biomed Imaging, Harbin 150001, Peoples R China
来源
2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) | 2014年
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new optical flow method is presented for estimating myocardial motion from MR image sequences. The concept of the local shape is introduced to generate four optical flow equations. Next, the interpolation operation is utilized to solve the four optical flow equations. Then a cost function is formulated from the intensity equation and gradient equations. The minimum method is considered to obtain an optimized position as the value of displacement. Finally, the optical flow method is tested with synthetic and experimental myocardial motion MRI data. There are two main contributions in this paper: the proposed estimation method can give a desired performance on both the eine and tagged MR image sequences, and for the simulation, we proposed synthesized eine and tagged sequences with the same ground truth motion field, which are used to evaluate the motion detection performances of the algorithms. Compared to classical methods, the results obtained improved displacement estimation and strain maps on eine and tagged images.
引用
收藏
页码:1066 / 1071
页数:6
相关论文
共 15 条
  • [1] Myocardial Motion Estimation from Medical Images Using the Monogenic Signal
    Alessandrini, Martino
    Basarab, Adrian
    Liebgott, Herve
    Bernard, Olivier
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (03) : 1084 - 1095
  • [2] A method for vector displacement estimation with ultrasound imaging and its application for thyroid nodular disease
    Basarab, Adrian
    Liebgott, Herve
    Morestin, Fabrice
    Lyshchik, Andrej
    Higashi, Tatsuya
    Asato, Ryo
    Delachartre, Philippe
    [J]. MEDICAL IMAGE ANALYSIS, 2008, 12 (03) : 259 - 274
  • [3] Ben-Avraham D., 2000, Diffusion and reactions in fractals and disordered systems
  • [4] Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart - A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association
    Cerqueira, MD
    Weissman, NJ
    Dilsizian, V
    Jacobs, AK
    Kaul, S
    Laskey, WK
    Pennell, DJ
    Rumberger, JA
    Ryan, T
    Verani, MS
    [J]. CIRCULATION, 2002, 105 (04) : 539 - 542
  • [5] Clarysse P., 2011, J CARDIOVASCULAR MAG, V13, pP360
  • [6] An integrated model of fixational eye movements and microsaccades
    Engbert, Ralf
    Mergenthaler, Konstantin
    Sinn, Petra
    Pikovsky, Arkady
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (39) : E765 - E770
  • [7] Felsberg M, 2007, LECT NOTES COMPUT SC, V3417, P1
  • [8] COMPUTATION OF COMPONENT IMAGE VELOCITY FROM LOCAL PHASE INFORMATION
    FLEET, DJ
    JEPSON, AD
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1990, 5 (01) : 77 - 104
  • [9] DETERMINING OPTICAL-FLOW
    HORN, BKP
    SCHUNCK, BG
    [J]. ARTIFICIAL INTELLIGENCE, 1981, 17 (1-3) : 185 - 203
  • [10] Lucas B., 1981, Proc. DARPA Image Understanding Workshop, P121