http://iet.metastore.ingenta.com
1887

Shape and appearance priors for level set-based left ventricle segmentation

MyBook is a cheap paperback edition of the original book and will be sold at uniform, low price.
Buy article PDF
$23.94
Buy Knowledge Pack
10 articles for $144.00

Abstract

The authors propose a novel spatiotemporal constraint based on shape and appearance and combine it with a level-set deformable model for left ventricle (LV) segmentation in four-dimensional gated cardiac SPECT, particularly in the presence of perfusion defects. The model incorporates appearance and shape information into a ‘soft-to-hard’ probabilistic constraint, and utilises spatiotemporal regularisation via a maximum a posteriori framework. This constraint force allows more flexibility than the rigid forces of shape constraint-only schemes, as well as other state of the art joint shape and appearance constraints. The combined model can hypothesise defective LV borders based on prior knowledge. The authors present comparative results to illustrate the improvement gain. A brief defect detection example is finally presented as an application of the proposed method.

References

    1. 1)
      • H. Schumacher , J. Modersitzki , B. Fischer .
        1. Schumacher, H., Modersitzki, J., Fischer, B.: ‘Combined reconstruction and motion correction in SPECT imaging’, IEEE Trans. Nucl. Sci., 2009, 56, (1), pp. 7380 (doi: 10.1109/TNS.2008.2007907).
        . IEEE Trans. Nucl. Sci. , 1 , 73 - 80
    2. 2)
      • A. Bronnikov .
        2. Bronnikov, A.: ‘SPECT imaging with resolution recovery’, IEEE Trans. Nucl. Sci., 2012, 59, (4), pp. 14581464 (doi: 10.1109/TNS.2012.2195675).
        . IEEE Trans. Nucl. Sci. , 4 , 1458 - 1464
    3. 3)
      • A. Faro , D. Giordano , C. Spampinato , S. Ullo , A.D. Stefano .
        3. Faro, A., Giordano, D., Spampinato, C., Ullo, S., Stefano, A.D.: ‘Basal ganglia activity measurement by automatic 3-D striatum segmentation in SPECT imaging’, IEEE Trans. Instrum. Meas., 2009, 60, (10), pp. 32693280 (doi: 10.1109/TIM.2011.2159315).
        . IEEE Trans. Instrum. Meas. , 10 , 3269 - 3280
    4. 4)
      • E. Depuey , E. Garcia , D. Berman . (2000)
        4. Depuey, E., Garcia, E., Berman, D.: ‘Cardiac SPECT imaging’ (Lippincott Williams and Wilkins, Philadelphia, 2000, 2nd edn.).
        .
    5. 5)
      • H. Loats .
        5. Loats, H.: ‘CT and SPECT image registration and fusion for spatial localization of metastatic processes using radiolabeled monoclonals’, J. Nucl. Med., 1993, 34, pp. 562566.
        . J. Nucl. Med. , 562 - 566
    6. 6)
      • J. Montagnat , H. Delingette , G. Malandain . (1999)
        6. Montagnat, J., Delingette, H., Malandain, G.: ‘Cylindrical Echocar-diographic images segmentation based on 3D deformable models’ (MICCAI, 1999) pp. 168175.
        .
    7. 7)
      • M. Sermesant , C. Forest , X. Pennec , H. Delingette , N. Ayache .
        7. Sermesant, M., Forest, C., Pennec, X., Delingette, H., Ayache, N.: ‘Deformable biomechanical models: application to 4D cardiac image analysis’, Med. Image Anal., 2003, 7, (4), pp. 475488 (doi: 10.1016/S1361-8415(03)00068-9).
        . Med. Image Anal. , 4 , 475 - 488
    8. 8)
      • L. Dornheim , K.D. Tönnies , K. Dixon . (2005)
        8. Dornheim, L., Tönnies, K.D., Dixon, K.: ‘Automatic segmentation of the left ventricle in 3D SPECT data by registration with a dynamic anatomic model’ (MICCAI, 2005), vol. 8, pp. 335342.
        .
    9. 9)
      • S. Choi , H. Kim , J. Oh , T. Kang , K. Sun , M. Kim .
        9. Choi, S., Kim, H., Oh, J., Kang, T., Sun, K., Kim, M.: ‘Segmentation of the left ventricle in myocardial perfusion SPECT using variational level set formulation’. Nuclear Science Symp. Conf. Record, 2007, vol. 4, pp. 30603064.
        . Nuclear Science Symp. Conf. Record , 3060 - 3064
    10. 10)
      • C. Hentschke , K. Engel , S. Schafer , K. Tonnies . (2009)
        10. Hentschke, C., Engel, K., Schafer, S., Tonnies, K.: ‘Segmentation of the left ventricle in SPECT by an active surface’ (MIUA, 2009) pp. 15.
        .
    11. 11)
      • E. Debreuve , M. Barlaud , G. Aubert , I. Laurette , J. Darcourt .
        11. Debreuve, E., Barlaud, M., Aubert, G., Laurette, I., Darcourt, J.: ‘Space-time segmentation using level set active contours applied to myocardial gated SPECT’, IEEE Trans. Med. Imaging, 2001, 20, (7), pp. 643659 (doi: 10.1109/42.932748).
        . IEEE Trans. Med. Imaging , 7 , 643 - 659
    12. 12)
      • T. McInerney , D. Terzopoulos .
        12. McInerney, T., Terzopoulos, D.: ‘A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysis’, Comput. Imaging Graph., 1995, 19, pp. 6983 (doi: 10.1016/0895-6111(94)00040-9).
        . Comput. Imaging Graph. , 69 - 83
    13. 13)
      • E. Bardinet , L. Cohen , N. Ayache .
        13. Bardinet, E., Cohen, L., Ayache, N.: ‘Tracking and motion analysis of the left ventricle with deformable superquadrics’, Med. Image Anal., 1996, 1, pp. 129149 (doi: 10.1016/S1361-8415(96)80009-0).
        . Med. Image Anal. , 129 - 149
    14. 14)
      • J. Montagnat , H. Delingette .
        14. Montagnat, J., Delingette, H.: ‘4D deformable models with temporal constraints: application to 4D cardiac image segmentation’, Med. Image Anal., 2005, 9, (1), pp. 87100 (doi: 10.1016/j.media.2004.06.025).
        . Med. Image Anal. , 1 , 87 - 100
    15. 15)
      • R. Chandrashekara , A. Rao , G. Sanchez-Oritz , R. Mohiaddin , D. Rueckert .
        15. Chandrashekara, R., Rao, A., Sanchez-Oritz, G., Mohiaddin, R., Rueckert, D.: ‘Construction of a statistical model for cardiac motion analysis using non-rigid image registration’, Inf. Process. Med. Imaging, 2003, 18, pp. 599610 (doi: 10.1007/978-3-540-45087-0_50).
        . Inf. Process. Med. Imaging , 599 - 610
    16. 16)
      • M. O'Connor , K. Kanal , M. Gebhard , P. Rossman .
        16. O'Connor, M., Kanal, K., Gebhard, M., Rossman, P.: ‘Comparison of four motion correction techniques in SPECT imaging of the heart: a cardiac phantom study’, J. Nucl. Med., 1998, 39, pp. 20272034.
        . J. Nucl. Med. , 2027 - 2034
    17. 17)
      • J. Laading , C. McCulloch , V. Johnson , D. Gill , R.A. Jaszczak .
        17. Laading, J., McCulloch, C., Johnson, V., Gill, D., Jaszczak, R.A.: ‘Hierarchical feature based deformation model applied to 4D cardiac SPECT Data’. Int. Conf. Information Processing in Medical Imaging1999, (LNCS, 1613), pp. 266279.
        . Int. Conf. Information Processing in Medical Imaging , 266 - 279
    18. 18)
      • J. Brankov , Y. Yang , M. Wernick .
        18. Brankov, J., Yang, Y., Wernick, M.: ‘Spatiotemporal processing of gated cardiac SPECT images using deformable mesh modeling’, Med. Phys., 2005, 32, (9), pp. 28392849 (doi: 10.1118/1.2013027).
        . Med. Phys. , 9 , 2839 - 2849
    19. 19)
      • A. Charnoz , D. Lingrand , J. Montagnat .
        19. Charnoz, A., Lingrand, D., Montagnat, J.: ‘A levelset based method for segmenting the heart in 3D + T gated SPECT images’, Int. Workshop on Functional Imaging and Modeling of the Heart, 2003, vol. 2674, pp. 87100.
        . Int. Workshop on Functional Imaging and Modeling of the Heart , 87 - 100
    20. 20)
      • M. Leventon , W. Grimson , O. Faugeras . (2000)
        20. Leventon, M., Grimson, W., Faugeras, O.: ‘Statistical shape influence in geodesic active contours’ (CVPR, 2000) pp. 316323.
        .
    21. 21)
      • A. Tsai , A. Yezzi , W. Wells . (2001)
        21. Tsai, A., Yezzi, A., Wells, W., et al.: ‘Model-based curve evolution technique for image segmentation’ (CVPR, 2001) pp. 463468.
        .
    22. 22)
      • D. Cremers , F. Tischhauser , J. Weickert , C. Schnorr .
        22. Cremers, D., Tischhauser, F., Weickert, J., Schnorr, C.: ‘Diffusion snakes: introducing statistical shape knowledge into the Mumford-Shah functional’, Comput. Vis., 2002, 50, (3), pp. 295313 (doi: 10.1023/A:1020826424915).
        . Comput. Vis. , 3 , 295 - 313
    23. 23)
      • T. Kohlberger , D. Cremers , M. Rousson , R. Ramaraj , G. Funka-Lea . (2006)
        23. Kohlberger, T., Cremers, D., Rousson, M., Ramaraj, R., Funka-Lea, G.: ‘4D shape priors for a level set segmentation of the left myocardium in SPECT sequences’ (MICCAI, 2006), vol. 9, pp. 92100.
        .
    24. 24)
      • T. Chan , L. Vese .
        24. Chan, T., Vese, L.: ‘Active contour without edges’, IEEE Trans. Image Process., 2001, 10, (2), pp. 266277 (doi: 10.1109/83.902291).
        . IEEE Trans. Image Process. , 2 , 266 - 277
    25. 25)
      • T. Kohlberger , G. Funka-Lea , V. Desh . (2007)
        25. Kohlberger, T., Funka-Lea, G., Desh, V.: ‘Soft level set coupling for LV segmentation in gated perfusion SPECT’ (MICCAI, 2007), vol. 10, pp. 327334.
        .
    26. 26)
      • M. Rousson , D. Cremers . (2005)
        26. Rousson, M., Cremers, D.: ‘Efficient kernel density estimation of shape and intensity priors for level set segmentation’ (MICCAI, 2005), vol. 8, pp. 335342.
        .
    27. 27)
      • M. Rousson , N. Paragios . (2002)
        27. Rousson, M., Paragios, N.: ‘Shape priors for level set representations’ (ECCV, 2002) pp. 7892.
        .
    28. 28)
      • V. Fisher , R. Lee , A. Gourin , H. Bolooki , J. Stuckey , F. Kavaler .
        28. Fisher, V., Lee, R., Gourin, A., Bolooki, H., Stuckey, J., Kavaler, F.: ‘Muscle fiber length: a determinant of left ventricular contraction pattern’, Am. J. Physiol., 1966, 211, pp. 301306.
        . Am. J. Physiol. , 301 - 306
    29. 29)
      • S. Gleason , M. Abidi , H. Sari-Sarraf . (2002)
        29. Gleason, S., Abidi, M., Sari-Sarraf, H.: ‘Probabilistic shape and appearance model for scene segmentation’ (ICRA, 2002), vol. 3, pp. 29822987.
        .
    30. 30)
      • J. Yang , J. Duncan . (2003)
        30. Yang, J., Duncan, J.: ‘3D image segmentation of deformable objects with shape-appearance joint prior models’ (MICCAI, 2003) pp. 573580.
        .
    31. 31)
      • X. Huang , Z. Li , D. Metaxas . (2004)
        31. Huang, X., Li, Z., Metaxas, D.: ‘Learning coupled prior shape and appearance models for segmentation’ (MICCAI, 2004), pp. 6069.
        .
    32. 32)
      • A. Litvin , W.C. Karl , J. Shah . (2006)
        32. Litvin, A., Karl, W.C., Shah, J.: ‘Shape and appearance modeling with feature distributions for image segmentation’ (ISBI, 2006), pp. 11281131.
        .
    33. 33)
      • R. Ben-Ari , D. Aiger . (2008)
        33. Ben-Ari, R., Aiger, D.: ‘Geodesic active contours with combined shape and appearance priors’ (ACIVS, 2008) pp. 494505.
        .
    34. 34)
      • R. Yang , M. Mirmehdi , X. Xie . (2006)
        34. Yang, R., Mirmehdi, M., Xie, X.: ‘A charged active contour based on electrostatics’ (ACIVS, 2006) pp. 173184.
        .
    35. 35)
      • T. Cootes , G. Edwards , C. Taylor . (1998)
        35. Cootes, T., Edwards, G., Taylor, C.: ‘Active appearance models’ (ECCV, 1998), vol. 2, pp. 484498.
        .
    36. 36)
      • A.C. Jalba , M.H.F. Wilkinson , J.B.T.M. Roerdink .
        36. Jalba, A.C., Wilkinson, M.H.F., Roerdink, J.B.T.M.: ‘CPM: a deformable model for shape recovery and segmentation based on charged particles’, IEEE Trans. Pattern Anal. Mach. Intell., 2004, 26, (10), pp. 13201335 (doi: 10.1109/TPAMI.2004.84).
        . IEEE Trans. Pattern Anal. Mach. Intell. , 10 , 1320 - 1335
    37. 37)
      • V. Caselles , R. Kimmel , G. Sapiro . (1995)
        37. Caselles, V., Kimmel, R., Sapiro, G.: ‘Geodesic active contours’ (ICCV, 1995), pp. 694699.
        .
    38. 38)
      • N. Paragios , V. Mellina-Gottardo , O. Ramesh .
        38. Paragios, N., Mellina-Gottardo, V., Ramesh, O.: ‘Gradient vector flow fast geodesic active contours’, IEEE Trans. Pattern Anal. Mach. Intell., 2004, 26, (3), pp. 402407 (doi: 10.1109/TPAMI.2004.1262337).
        . IEEE Trans. Pattern Anal. Mach. Intell. , 3 , 402 - 407
    39. 39)
      • R. Yang , M. Mirmehdi , D. Hall . (2006)
        39. Yang, R., Mirmehdi, M., Hall, D.: ‘Charged contour model for cardiac SPECT segmentation’ (MIUA, 2006) pp. 171175.
        .
    40. 40)
      • X. Huang , N. Paragios , D. Metaxas .
        40. Huang, X., Paragios, N., Metaxas, D.: ‘Shape registration in implicit spaces using information theory and free form deformations’, IEEE Trans. Pattern Anal. Mach. Intell., 2006, 28, (8), pp. 13031318 (doi: 10.1109/TPAMI.2006.171).
        . IEEE Trans. Pattern Anal. Mach. Intell. , 8 , 1303 - 1318

Related content

content/journals/10.1049/iet-cvi.2012.0081
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address