Reversible jump MCMC methods for fully automatic motion analysis in tagged MRI

Medical Image Analysis

Volumn 16, Issue 1, 2012, Pages 301-324

  Smal, Ihor ^a   Carranza Herrezuelo, Noemí ^a   Klein, Stefan ^a   Wielopolski, Piotr ^a   Moelker, Adriaan ^a   Springeling, Tirza ^a   Bernsen, Monique ^a   Niessen, Wiro ^a   Meijering, Erik ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Cardiac imaging; Markov chain Monte Carlo; Motion analysis; Tagged MRI; Tracking

Indexed keywords

ACTIVE CONTOURS; BAYESIAN ESTIMATION FRAMEWORK; CARDIAC IMAGING; CARDIAC MOTION; CARDIAC MOTION ANALYSIS; CLINICAL USE; GROUND TRUTH; IMAGE SEQUENCE; IMAGING PROCESS; MARKOV CHAIN MONTE CARLO; MOTION ANALYSIS; NONINVASIVE METHODS; NONRIGID IMAGE REGISTRATION; PROBABILISTIC METHODS; RELIABILITY ASSESSMENTS; REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO; REVERSIBLE JUMP MCMC; SMALL ANIMAL; SYNTHETIC IMAGES; TAG TRACKING; TAGGED MRI; TIME VARYING;

BAYESIAN NETWORKS; DATA FLOW ANALYSIS; DYNAMICS; HEART; IMAGE QUALITY; MARKOV PROCESSES; MONTE CARLO METHODS; NONINVASIVE MEDICAL PROCEDURES; QUALITY CONTROL; RELIABILITY ANALYSIS; SURFACE DISCHARGES;

MAGNETIC RESONANCE IMAGING;

ACCURACY; ACTIVE CONTOUR FITTING; ARTICLE; BAYESIAN LEARNING; CARDIOVASCULAR MAGNETIC RESONANCE; CONTROLLED STUDY; HARMONIC PHASE NUCLEAR MAGNETIC RESONANCE IMAGING; IMAGE PROCESSING; MARKOV CHAIN MONTE CARLO METHOD; MOTION ANALYSIS SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; OPTIC FLOW; PRIORITY JOURNAL; REGISTER; RELIABILITY; STATISTICAL MODEL; TAGGED NUCLEAR MAGNETIC RESONANCE IMAGING;

ALGORITHMS; ARTIFACTS; CARDIAC-GATED IMAGING TECHNIQUES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; MONTE CARLO METHOD; MOTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 82355192254     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2011.08.006     Document Type: Article

References (82)

1. Abràmoff M.D., Magalhães P.J., Ram S.J. Image processing with ImageJ. Biophot. Int. 2004, 11:36-42.
2. Aletras A.H., Ding S., Balaban R.S., Wen H. DENSE: displacement encoding with stimulated echoes in cardiac functional MRI. J. Magn. Reson. 1999, 137:247-252.
3. Amini A.A., Chen Y., Curwen R.W., Mani V., Sun J. Coupled B-snake grids and constrained thin-plate splines for analysis of 2-D tissue deformations from tagged MRI. IEEE Trans. Med. Imag. 1998, 17:344-356.
4. Arts T., Hunter W.C., Douglas A.S., Muijtjens A.M.M., Reneman R.S. Description of the deformation of the left ventricle by a kinematic model. J. Biomech. 1992, 25:1119-1127.
5. Arulampalam S.M., Maskell S., Gordon N., Clapp T. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 2002, 50:174-188.
6. Atalar E., McVeigh E.R. Optimization of tag thickness for measuring position with magnetic resonance imaging. IEEE Trans. Med. Imag. 1994, 13:152-160.
7. Aubert G., Deriche R., Kornprobst P. Computing optical flow via variational techniques. SIAM J. Appl. Math. 1999, 60:156-182.
8. Axel L., Dougherty L. Improved method of spatial modulation of magnetization (SPAMM) for MRI of heart wall motion. Radiology 1989, 172:349-350.
9. Axel L., Dougherty L. MR imaging of motion with spatial modulation of magnetization. Radiology 1989, 171:841-845.
10. Bardinet E., Cohen L.D., Ayache N. Tracking and motion analysis of the left ventricle with deformable superquadrics. Med. Image Anal. 1996, 1:129-149.
11. Bland J.M., Kerry S.M. Weighted comparison of means. Br. Med. J. 1998, 316:129.
12. Bookstein F.L. Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans. Pattern Anal. Mach. Intell. 1989, 11:567-585.
13. Carranza-Herrezuelo N., Bajo A., Sroubek F., Santamarta C., Cristobal G., Santos A., Ledesma-Carbayo M.J. Motion estimation of tagged cardiac magnetic resonance images using variational techniques. Comput. Med. Imag. Graph. 2010, 34:514-522.
14. Cerqueira M.D., Weissman N.J., Dilsizian V., Jacobs A.K., Kaul S., Laskey W.K., Pennell D.J., Rumberger J.A., Ryan T., Verani M.S. Standarized myocardial segmentation and nomencclature for tomographic imaging of the heart. Circulation 2002, 105:539-542.
15. Chandrashekara R., Mohiaddin R.H., Rueckert D. Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration. IEEE Trans. Med. Imag. 2004, 23:1245-1250.
16. Chen T., Wang X., Chung S., Metaxas D., Axel L. Automated 3D motion tracking using Gabor filter bank, robust point matching and deformable models. IEEE Trans. Med. Imag. 2010, 29:1-11.
17. Chen Y., Amini A.A. A MAP framework for tag line detection in SPAMM data using Markov random fields on the B-spline solid. IEEE Trans. Med. Imag. 2002, 21:1110-1122.
18. Chuang J.S., Zemljic-Harpf A., Ross R.S., Frank L.R., McCulloch A.D., Omens J.H. Determination of three-dimensional ventricular strain distributions in gene-targeted mice using tagged MRI. Magn. Reson. Med. 2010, 64:1281-1288.
19. Croisille P., Judd R., Lima J., Moore C., Arai M., Lugo-Olivieri C., Becker L., Zerhouni E.A. Combined dobutamine stress tagged and contrast enhanced MRI differentiate viable from non-viable myocardium after acute infarction and reperfusion. Circulation 1995, 92:I-508.
20. Crum W.R., Berry E., Ridgway J.P., Sivananthan U.M., Tan L.B., Smith M.A. Simulation of two-dimensional tagged MRI. J. Magn. Reson. Imag. 1997, 7:416-424.
21. Deng X., Denney T.S. Three-dimensional myocardial strain reconstruction from tagged MRI using a cylindrical B-spline model. IEEE Trans. Med. Imag. 2004, 23:861-867.
22. Denney T.S. Estimation and detection of myocardial tags in MR image without user-defined myocardial contours. IEEE Trans. Med. Imag. 1999, 18:330-344.
23. Denney T.S., Prince J.L. Reconstruction of 3-D left ventricular motion from planar tagged cardiac MR images: an estimation theoretic approach. IEEE Trans. Med. Imag. 1995, 14:625-635.
24. Doucet A., de Freitas N., Gordon N. Sequential Monte Carlo Methods in Practice 2001, Springer-Verlag, Berlin.
25. Doucet A., Godsill S., Andrieu C. On sequential Monte Carlo sampling methods for Bayesian filtering. Stat. Comput. 2000, 10:197-208.
26. Dougherty L., Asmuth J.C., Blom A.S., Axel L., Kumar R. Validation of an optical flow method for tag displacement estimation. IEEE Trans. Med. Imag. 1999, 18:359-363.
27. Frangi, A.F., 2001. Three-dimensional model-based analysis of vascular and cardiac images. Ph.D. thesis, Utrecht University, Utrecht, The Netherlands.
28. Gilks W.R., Richardson S., Spiegelhalter D.J. Markov Chain Monte Carlo in Practice 1996, Chapman and Hall, Boca Raton.
29. Green P. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 1995, 82:711-732.
30. Gudbjartsson H., Patz S. The Rician distribution of noisy MRI data. Magn. Reson. Med. 2005, 34:910-914.
31. Gupta, S.N., Prince, J.L., Androutsellis-Theotokis, S., 1997. Bandpass optical flow for tagged MR imaging. In: Proceedings of the IEEE International Conference on Image Processing, pp. 364-367.
32. Guttman M.A., Prince J.L., McVeigh E.R. Tag and contour detection in tagged MR images of the left ventricle. IEEE Trans. Med. Imag. 1994, 13:74-88.
33. Hastings W.K. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 1970, 57:97-109.
34. Karen G., Ordovas M.D., Gautham P., Reddy M.D., Charles B., Higgins M.D. MRI in nonischemic acquired heart disease. Magn. Reson. Med. 2008, 27:1195-1213.
35. Kass M., Witkin A., Terzopoulos D. Snakes: active contour models. Int. J. Comput. Vis. 1988, 1:321-331.
36. Kerwin W.S., Osman N.F., Prince J.L. Image processing and analysis in tagged cardiac MRI. Handbook of Medical Imaging 2000, 375-391. Academic Press, Inc Orlando, FL, USA. I.N. Bankman (Ed.).
37. Khan Z., Balch T., Dellaert F. MCMC-based particle filtering for tracking a variable number of interacting targets. IEEE Trans. Pattern Anal. Mach. Intell. 2005, 27:1805-1819.
38. Klein S., Pluim J.P., Staring M., Viergever M.A. Adaptive stochastic gradient descent optimisation for image registration. Int. J. Comput. Vis. 2009, 81:227-239.
39. Klein S., Staring M., Murphy K., Viergever M.A., Pluim J.P.W. elastix: a toolbox for intensity-based medical image registration. IEEE Trans. Med. Imag. 2010, 29:196-205.
40. Klein S., Staring M., Pluim J.P.W. Evaluation of optimization methods for nonrigid medical image registration using mutual information and B-splines. IEEE Trans. Image Process. 2007, 16:2879-2890.
41. Kraitchman D.L., Young A.A., Chang C.N., Axel L. Semi-automatic tracking of myocardial motion in MR tagged images. IEEE Trans. Med. Imag. 1995, 14:422-433.
42. Kumar A., Patton D.J., Friedrich M.G. The emerging clinical role of cardiovascular magnetic resonance imaging. Can. J. Cardiol. 2010, 26:313-322.
43. Kumar S., Goldgof D. Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images. IEEE Trans. Med. Imag. 1994, 13:122-132.
44. Kushner H.J., Clark D.S. Stochastic Approximation Methods for Constrained and Unconstrained Systems 1978, Springer-Verlag, New York.
45. Lai W.M., Rubin D.H., Krempl E. Introduction to Continuum Mechanics 1996, Elsevier, Burlington.
46. Ledesma-Carbayo M.J., Derbyshire J.A., Sampath S., Santos A., Desco M., McVeigh E.R. Unsupervised estimation of myocardial displacement from tagged MR sequences using nonrigid registration. Magn. Reson. Med. 2008, 59:181-189.
47. Ledesma-Carbayo M.J., Kybic J., Desco M., Santos A., Suhling M., Hunziker P., Unser M. Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation. IEEE Trans. Med. Imag. 2005, 24:1113-1126.
48. Lee, D., Kent, J.T., Mardia, K.V., 1997a. Tracking of tagged MR images by Bayesian analysis of a network of quads. In: Proceedings of the International Conference on Information Processing in Medical Imaging, pp. 495-500.
49. Lee S., Wolberg G., Chwa K.Y., Shin S.Y. Image metamorphosis with scattered feature constraints. IEEE Trans. Vis. Comput. Graph. 1996, 2:337-354.
50. Lee S., Wolberg G., Shin S.Y. Scattered data interpolation with multilevel B-splines. IEEE Trans. Vis. Comput. Graph. 1997, 3:228-244.
51. Lester H., Arridge S.R. A survey of hierarchical non-linear medical image registration. Pattern Recognit. 1999, 32:129-149.
52. Lima J.A., Ferrari V.A., Reichek N., Kramer C.M., Palmon L., Llaneras M.R., Tallant B., Young A.A., Axel L. Segmental motion and deformation of transmurally infarcted myocardium in acute postinfarct period. Am. J. Physiol. 1995, 268:1304-1312.
53. Liu W., Chen J., Ji S., Allen S., Bayly F.V., Wickline S.A., Yu X. Harmonic phase MR tagging for direct quantification of Lagrangian strain in rat hearts after myocardial infarction. Magn. Reson. Med. 2004, 52:1282-1290.
54. Maes F., Collignon A., Vandermeulen D., Marchal G., Suetens P. Multimodelity image registration by maximization of mutual information. IEEE Trans. Med. Imag. 1997, 16:187-198.
55. McVeigh E.R., Atalar E. Cardiac tagging with breath-hold cine MRI. Magn. Reson. Med. 1992, 28:318-327.
56. Moore C.C., Lugo-Olivieri C.H., McVeigh E.R., Zerhouni E.A. Three-dimensional systolic strain patterns in the normal human left ventricle: characterization with tagged MR imaging. Radiology 2000, 214:453-466.
57. Muellerleile K., Barmeyer A., Groth M., Lund G.K. Assessment of myocardial viability in ischemic heart disease by cardiac magnetic resonance imaging. Minerva Cardioangiol. 2008, 56:237-249.
58. Nocedal J., Wright S.J. Numerical Optimization 1999, Springer-Verlag, New York.
59. Osman N.F., Kerwin W.S., McVeigh E.R., Prince J.L. Cardiac motion tracking using CINE harmonic phase (HARP) magnetic resonance imaging. Magn. Reson. Med. 1999, 42:1048-1060.
60. Osman N.F., McVeigh E.R., Prince J.L. Imaging heart motion using harmonic phase MRI. IEEE Trans. Med. Imag. 2000, 19:186-202.
61. Osman N.F., Sampath S., Atalar E., Prince J.L. Imaging longitudinal cardiac strain on short-axis images using strain-encoded MRI. Magn. Resn. Med. 2001, 46:324-334.
62. Pan L., Stuber M., Kraitchman D.L., Fritzges D.L., Gilson W.D., Osman N. Real-time imaging of regional myocardial function using fast-SENC. Magn. Resn. Med. 2006, 55:386-395.
63. Pluim J.P.W., Maintz J.B.A., Viergever M.A. Mutual-information-based registration of medical images: a survey. IEEE Trans. Med. Imag. 2003, 22:986-1004.
64. Prince J.L., McVeigh E.R. Motion estimation from tagged MR image sequences. IEEE Trans. Med. Imag. 1992, 11:238-249.
65. Reichek N. Magnetic resonance imaging for assessment of myocardial function. Magn. Reson. Q. 1991, 7:255-274.
66. Ristic B., Arulampalam S., Gordon N. Beyond the Kalman Filter: Particle Filters for Tracking Applications 2004, Artech House, Boston.
67. Rougon N., Petitjean C., Preteux F., Cluzek P., Grenier P. A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures. Med. Image Anal. 2005, 9:353-375.
68. Rueckert D., Sonoda L.I., Hayes C., Hill D.L.G., Leach M.O., Hawkes D.J. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imag. 1999, 18:712-721.
69. Smal I., Draegestein K., Galjart N., Niessen W., Meijering E. Particle filtering for multiple object tracking in dynamic fluorescence microscopy images: application to microtubule growth analysis. IEEE Trans. Med. Imag. 2008, 27:789-804.
70. Smal I., Meijering E., Draegestein K., Galjart N., Grigoriev I., Akhmanova A., van Royen M.E., Houtsmuller A.B., Niessen W. Multiple object tracking in molecular bioimaging by Rao-Blackwellized marginal particle filtering. Med. Image Anal. 2008, 12:764-777.
71. Smal, I., Niessen, W.J., Meijering, E., 2010. Particle filtering methods for motion analysis in tagged MRI. In: Proceedings of the IEEE International Symposium on Biomedical Imaging, pp. 488-491.
72. Smith K., Ba S., Gatica-Perez D., Odobez J.M. Tracking the visual focus of attention for a varying number of wandering people. IEEE Trans. Pattern Anal. Mach. Intell. 2008, 30:1212-1229.
73. Sroubek F., Flusser J. Multichannel blind deconvolution of spatially misaligned images. IEEE Trans. Image Process. 2005, 14:874-883.
74. Thévenaz P., Unser M. Optimization of mutual information for multiresolution image registration. IEEE Trans. Image Process. 2000, 9:2083-2099.
75. Urayama S., Matsuda T., Sugimoto N., Mizuta N., Yamada N., Uyama C. Detailed motion analysis of the left ventricular myocardium using an MR tagging method with a dense grid. Magn. Reson. Med. 2000, 44:73-82.
76. Viola P., Wells W.M. Alignment by maximization of mutual information. Int. J. Comput. Vis. 1997, 24:137-154.
77. Wang L., Zhu H.Y., Tian J.M., Huang S.D., Kong L.S., Lu J.P. Magnetic resonance imaging in determination of myocardial ischemia and viability: comparison with positron emission tomography and single-photon emission computed tomography in a porcine model. Acta Radiol. 2007, 48:500-507.
78. Watzinger N., Maier R., Reiter U., Reiter G., Fuernau G., Wonisch M., Fruhwald F.M., Schumacher M., Zweiker R., Rienmueller R., Klein W. Clinical applications of cardiovascular magnetic resonance. Curr. Pharm. Des. 2005, 11:457-475.
79. Wedeen V.J. Magnetic resonance imaging of myocardial kinematics: technique to detect, localize, and quantify the strain rates of the active human myocardium. Magn. Reson. Med. 1992, 27:52-67.
80. Young A.A., Kraitchman D.L., Dougherty L., Axel L. Tracking and finite element analysis of stripe deformation in magnetic resonance tagging. IEEE Trans. Med. Imag. 1995, 14:413-421.
81. Zerhouni E.A., Parish D.M., Rogers W.J., Yang A., Shapiro E.P. Human heart: tagging with MR imaging - a method for noninvasive assessment of myocardial motion. Radiology 1988, 169:59-63.
82. Zhang S., Douglas M., Yaroslavsky L., Summers R., Dilsizen V., Fananapazir L., Bacharach S. A Fourier based algorithm for tracking SPAMM tags in gated magnetic resonance cardiac images. Med. Phys. 1996, 23:1359-1369.