Ultrasound in Medicine and Biology
Volume 35, Issue 2 , Pages 256-265 , February 2009

Region-Based Endocardium Tracking on Real-Time Three-Dimensional Ultrasound

  • Qi Duan

      Affiliations

    • Department of Biomedical Engineering, Columbia University, New York, NY, USA
    • Corresponding Author InformationAddress correspondence to: Qi Duan, ET351, 1210 Amsterdam Avenue, New York, NY, 10025
  • ,
  • Elsa D. Angelini

      Affiliations

    • Department of Image and Signal Processing, Institut Telecom, Telecom ParisTech, Paris, France
  • ,
  • Susan L. Herz

      Affiliations

    • Department of Biomedical Engineering, Columbia University, New York, NY, USA
  • ,
  • Christopher M. Ingrassia

      Affiliations

    • Department of Biomedical Engineering, Columbia University, New York, NY, USA
  • ,
  • Kevin D. Costa

      Affiliations

    • Department of Biomedical Engineering, Columbia University, New York, NY, USA
  • ,
  • Jeffrey W. Holmes

      Affiliations

    • Department of Biomedical Engineering, Columbia University, New York, NY, USA
  • ,
  • Shunichi Homma

      Affiliations

    • Department of Biomedical Engineering, Columbia University, New York, NY, USA
  • ,
  • Andrew F. Laine

      Affiliations

    • Department of Biomedical Engineering, Columbia University, New York, NY, USA

Received 2 October 2007 ,Revised 30 July 2008 ,Accepted 14 August 2008.

References 

  1. Anandan P. A computational framework and an algorithm for the measurement of visual motion. Int J Comp Vision. 1989;2:283–310
  2. Angelini E, Homma S, Pearson G, Holmes J, Laine A. Segmentation of real-time three-dimensional ultrasound for quantification of ventricular function: A clinical study on right and left ventricles. Ultrasound Med Biol. 2005;31:1143–1158
  3. Angelini ED, Hamming D, Homma S, Holmes J, Laine A. Comparison of segmentation methods for analysis of endocardial wall motion with real-time three-dimensional ultrasound. Comp Cardiol. 2002;00:609–612
  4. Bachner N, Adam D, Leitman M, Vered Z. Ultrasound echocardiographic assessment of transmural inhomogeneity of the left ventricular contraction during the heart cycle. Comp Cardiol. 2007;34:817–820
  5. Bardinet E, Cohen LD, Ayache N. Tracking and motion analysis of the left ventricle with deformable superquadratics. Med Image Anal. 1996;1:129–149
  6. Barron JL, Fleet D, Beauchemin S. Performance of optical flow techniques. Int J Comp Vision. 1994;12:43–77
  7. Belohlavek M, Foley DA, Gerber TC, Kinter TM, Greenleaf JF, Seward JB. Three- and four-dimensional cardiovascular ultrasound imaging: A new era for echocardiography. Mayo Clin Proc. 1993;68:221–240
  8. Black MJ, Anandan P. The robust estimation of multiple motions: Parameteric and piecewise-smooth flow fields. Comp Vision Image Understanding. 1996;63:
  9. Bland J, Altman D. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;i:307–310
  10. Bleyer M, Gelautz M, Rhemann C. Region-based optical flow estimation with treatment of occlusions. Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition. 2005;235–242
  11. Boukerroui D, Noble JA, Brady M. Velocity estimation in ultrasound images: A block matching approach. Lecture Notes Comp Sci. 2003;2732:586–598
  12. Brandt E, Wigstrom L, Wranne B. Segmentation of echocardiographic image sequences using spatio-temporal information. Lecture Notes Comp Sci. 1999;1679:410–419
  13. Canals R, Lamarque G, Chatain P. Volumetric ultrasound system for left ventricle motion imaging. IEEE Trans Ultrason Ferroelectr Freq Control. 1999;46:1527–1538
  14. Convertino G. Region-based optical flow estimation technique for collision avoidance. SPIE—Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling. 1997;118–125
  15. Corsi C, Borsari M, Consegnati F, Sarti A, Lamberti C, Travaglini A, et al. Left ventricular endocardial surface detection based on real-time 3D echocardiographic data. Eur J Ultrasound. 2001;13:41–51
  16. Cremers D, Rousson M, Deriche R. A review of statistical approaches to level set segmentation: Integrating color, texture, motion and shape. Int J Comp Vision. 2007;72:195–215
  17. Duan Q, Angelini E, Gerard O, Costa KD, Holmes JW, Homma S, et al. Cardiac motion analysis based on optical flow on real-time 3D ultrasound data. In:  Suri JS,  Fenster A,  Chang R-F, et al. editor. Recent Advances in Diagnostic and Therapeutic 3-D Ultrasound Imaging for Medical Applications. Artech House, Inc; 2007;
  18. Duan Q, Shechter G, Gutierrez LF, Stanton D, Zagorchev L, Laine AF, et al. Augmenting CT cardiac roadmaps with segmented streaming ultrasound. SPIE Int Symp Med Imaging 2007. San Diego, California In: 2007;65090V1–65090V11
  19. Duan Q, Angelini E, Gerard O, Homma S, Laine A. Comparing optical-flow based methods for quantification of myocardial deformations on RT3D ultrasound. IEEE Int Symp Biomed Imaging In: 2006;p. 173–176
  20. Duan Q, Angelini E, Herz SL, Ingrassia CM, Gerard O, Costa KD, et al. Dynamic cardiac information from optical flow using four dimensional ultrasound. 27th Annual International Conference IEEE Engineering in Medicine and Biology Society (EMBS). Shanghai, China 2005;
  21. Duan Q, Angelini ED, Herz SL, Gerard O, Allain P, Ingrassia CM, et al. Tracking of LV endocardial surface on real-time three-dimensional ultrasound with optical flow. Third International Conference on Functional Imaging and Modeling of the Heart 2005. Barcelona, Spain In: 2005;p. 434–445
  22. Duan Q, Angelini ED, Laine A. Assessment of visual quality and spatial accuracy of fast anisotropic diffusion and scan conversion algorithms for real-time three-dimensional spherical ultrasound. SPIE Int Symp Med Imaging. San Diego, California In: 2004;p. 331–342
  23. Fenster A, Downey DB. Three-dimensional ultrasound imaging. In:  Jacob Beutel HLK,  Metter RL editor. Handbook of Medical Imaging Volume1 Physics and Psychophysics. Bellingham, WA: SPIE- The International Society of Optical Engineering; 2000;p. 463–510
  24. Frangi AF, Niessen WJ, Viergever MA. Three-dimensional modeling for functional analysis of cardiac images, a review. IEEE Trans Med Imaging. 2001;20:2–25
  25. Heijman E, Aben J-P, Penners C, Niessen P, Guillaume R, Eys Gv, et al. Evaluation of manual and automatic segmentation of the mouse heart from CINE MR images. J Magn Reson Imaging. 2008;27:86–93
  26. Herz S, Ingrassia C, Homma S, Costa K, Holmes J. Parameterization of left ventricular wall motion for detection of regional ischemia. Ann Biomed Eng. 2005;33:912–919
  27. Horn BKP, Schunck BG. Determing optical flow. Artificial Intel. 1981;17:185–203
  28. Horstman JA, Monaghan MJ, Gill EA. Intraventricular dyssynchrony assessment by real-time three-dimensional echocardiography. Cardiol Clin. 2007;25:253–260
  29. Hunter PJ, Smaill BH. The analysis of cardiac function: A continuum approach. Progr Biophys Mol Biol. 1988;52:101–164
  30. Ingrassia C, Usyk T, Kerckhoffs R, McCulloch A, Costa K, Holmes J. Model-based development of 4-dimensional wall motion measures. Comp Meth Appl Mech Eng. 2007;196:3061–3069
  31. Ingrassia CM, Herz SL, Costa KD, Holmes JW. Impact of ischemic region size on regional wall motion. Proceedings of the 2003 Annual Fall Meeting of the Biomedical Engineering Society 2003;
  32. Juergens KU, Seifarth H, Range F, Wienbeck S, Wenker M, Heindel W, et al. Automated threshold-based 3D segmentation versus short-axis planimetry for assessment of global left ventricular function with dual-source MDCT. Am J Roentgenol. 2008;190:308–314
  33. Kapetanakis S, Kearney M, Siva A, Gall N, Cooklin M, Monaghan M. Real-time three-dimensional echocardiography: A novel technique to quantify global left ventricular mechanical dyssynchrony. Circulation. 2005;112:992–1000
  34. Ledesma-Carbayo MJ, Kybic J, Desco M, Santos A, Sühling M, Hunziker P, et al. Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation. IEEE Trans Med Imaging. 2005;24:1113–1126
  35. Linguraru MG, Vasilyev NV, Nido PJd, Howe RD. Atrial septal defect tracking in 3D cardiac ultrasound. Lecture Notes Comp Sci. 2006;4190:596–603
  36. Lucas B, Kanade T. An iterative image registration technique with an application to stereo vision. Proc DARPA IU Workshop 1981;
  37. Lucas BD, Kanade T. An iterative image registration technique with an application to stereo vision. International Joint Conference on Artificial Intelligence (IJCAI) In: 1981;p. 674–679
  38. Mikic I, Krucinski S, Thomas JD. Segmentation and tracking in echocardiographic sequences: Active contours guided by optical flow estimates. IEEE Trans Med Imaging. 1998;17:274–284
  39. Montagnat J, Sermesant M, Delingette H. Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images. Pattern Recogn Lett. 2003;24:815–828
  40. Nagel H. Displacement vectors derived from second-order intensity variations in image sequences. Comp Vision Graphics Image Proc. 1983;21:85–117
  41. Ofili EO, Nanda NC. Three-dimensional and four-dimensional echocardiography. Ultrasound Med Biol. 1994;20:00
  42. Paragios N. A level set approach for shape-driven segmentation and tracking of the left ventricle. IEEE Trans Med Imaging. 2003;22:773–776
  43. Pednekar A, Kakadiaris IA, Kurkure U, Muthupillai R, Flamm S. Validation of the automatic computation of the ejection fraction from cine-MRI. Lecture Notes Comp Sci. 2003;2879:987–989
  44. Perona P, Malik J. Scale space and edge detection using anisotropic diffusion. IEEE Workshop on Computer Vision. 1987;16–22
  45. Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans Pattern Anal Machine Intell. 1990;12:629–639
  46. Ramm OTV, Smith SW. Real time volumetric ultrasound imaging system. J Digital Imaging. 1990;3:261–266
  47. Rankin RN, Fenster A, Downey DB, Munk PL, Levin MF, Vellet AD. Three-dimensional sonographic reconstruction: Technique and diagnostic applications. Am J Radiol. 1993;161:695–702
  48. Revell J, Mirmehdi M, McNally D. Combined ultrasound speckle pattern similarity measures. Med Image Understanding Anal. 2004;149–153
  49. Sanchez-Ortiz GI, Wright GJT, Clarke N, Declerck J, Banning AP, Noble JA. Automated 3-D echocardiography analysis compared with manual delineations and SPECT MUGA. IEEE Trans Med Imaging. 2002;21:1069–1076
  50. Singh A. An estimation-theoretic framework for image-flow computation. Int Conf Comp Vision 1990;
  51. Suhling M, Arigovindan M, Jansen C, Hunziker P, Unser M. Myocardial motion analysis from B-mode echocardiograms. IEEE Trans Image Proc. 2005;14:525–536
  52. Tsuruoka S, Umehara M, Kimura F, Wakabayashi T, Miyake Y, Sekioka K. Regional wall motion tracking system for high-frame rate ultrasound echocardiography. Proceedings of the 1996 4th International Workshop on Advanced Motion Control, AMC'96. Part 1. Tsu, Japan IEEE. 1996;389–394
  53. van Geuns RJM, Baks T, Gronenschild EHBM, Aben J-PMM, Wielopolski PA, Cademartiri F, et al. Automatic quantitative left ventricular analysis of cine MR images by using three-dimensional information for contour detection. Radiology. 2006;240:215–221
  54. Veronesi F, Corsi C, Caiani EG, Sarti A, Lamberti C. Tracking of left ventricular long axis from real-time three-dimensional echocardiography using optical flow techniques. IEEE Trans Informat Technol Biomed. 2006;10:174–181
  55. Voormolen MM, Krenning BJ, Lancee CT, Cate FJt, Roelandt JRTC, Steen AFW, et al. Harmonie 3-D echocardiography with a fast-rotating ultrasound transducer. IEEE Trans Ultrason Ferroelectr Freq Control. 2006;53:1739–1747
  56. Wang T, Gu IYH, Viberg M, Cao Z, Song N. Tracking moving objects in video using enhanced mean shift and region-based motion field. EUSIPCO. 2007;307–311
  57. Weickert J, Romeny BMtH, Viergever MA. Efficient and reliable schemes for nonlinear diffusion filtering. IEEE Trans Image Proc. 1998;7:398–410
  58. Xiao J, Zhang Y, Shah M. Adaptive region-based video registration. Motion and Video Computing; 2005;
  59. Yilmaz A, Javed O, Shah M. Object tracking: A survey. ACM Comp Surveys. 2006;38:1–45
  60. Yu W, Lin N, Yan P, Purushothaman K, Sinusas A, Thiele K, et al. Motion Analysis of 3D ultrasound texture patterns. Lecture Notes Comp Sci. 2003;edn 2674:252–261
  61. Yu W, Yan P, Sinusas AJ, Thiele K, Duncan JS. Towards pointwise motion tracking in echocardiographic image sequences: Comparing the reliability of different features for speckle tracking. Med Image Anal. 2006;10:495–508

PII: S0301-5629(08)00386-4

doi: 10.1016/j.ultrasmedbio.2008.08.012

Ultrasound in Medicine and Biology
Volume 35, Issue 2 , Pages 256-265 , February 2009