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Cardiac Mesh Reconstruction from Sparse, Heterogeneous Contours

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Medical Image Understanding and Analysis (MIUA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 723))

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We introduce a tool to reconstruct a geometrical surface mesh from sparse, heterogeneous, non coincidental contours and show its application to cardiac data. In recent years much research has looked at creating personalised 3D anatomical models of the heart. These models usually incorporate a geometrical reconstruction of the anatomy in order to understand better cardiovascular functions as well as predict different processes after a clinical event. The ability to accurately reconstruct heart anatomy from MRI in three dimensions commonly comes with fundamental challenges, notably the trade off between data fitting and regularization. Most current techniques requires data to be either parallel, or coincident, and bias the final result due to prior shape models or smoothing terms. Our approach uses a composition of smooth approximations towards the maximization of the data fitting. Assessment of our method was performed on synthetic data obtained from a mean cardiac shape model as well as on clinical data belonging to one normal subject and one affected by hypertrophic cardiomyopathy. Our method is both used on epicardial and endocardial left ventricle surfaces, but as well as on the right ventricle.

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  1. 1.


  1. Arevalo, H.J., Vadakkumpadan, F., Guallar, E., Jebb, A., Malamas, P., Wu, K.C., Trayanova, N.A.: Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models. Nature Commun. 7 (2016)

    Google Scholar 

  2. Zou, M., Holloway, M., Carr, N., Ju, T.: Topology-constrained surface reconstruction from cross-sections. ACM Trans. Graph. (TOG) 34, 128 (2015). Proceedings of ACM SIGGRAPH 2015

    Article  MATH  Google Scholar 

  3. Sunderland, K., Boyeong, W., Pinter, C., Fichtinger, G.: Reconstruction of surfaces from planar contours through contour interpolations. In: Image-Guided Procedures, Robotic Interventions, and Modeling, SPIE Proceedings, vol. 9415 (2015)

    Google Scholar 

  4. Deng, D., Zhang, J., Xia, L.: Three-dimensional mesh generation for human heart model. Life Syst. Model. Intell. Comput., Commun. Comput. Inf. Sci. 98, 157–162 (2010)

    Google Scholar 

  5. Young, A.A., Cowan, B.R., Thrupp, S.F., Hedley, W.J., DellItalia, L.J.: Left ventricular mass and volume: fast calculation with guide-point modelling on MR images. Radiology 2(216), 597–602 (2000)

    Article  Google Scholar 

  6. Lamata, P., Niederer, S., Nordsletten, D., Barber, D.C., Roy, I., Hose, D.R., Smith, N.: An accurate, fast and robust method to generate patient-specific cubic Hermite meshes. Med. Image Anal. 15(6), 801–813 (2011)

    Article  Google Scholar 

  7. Albà, X., Pereañez, M., Hoogendoorn, C., Swift, A.J., Wild, J.M., Frangi, A.F., Lekadir, K.: An algorithm for the segmentation of highly abnormal hearts using a generic statistical shape model. IEEE Trans. Med. Imaging 35(3), 845–859 (2016)

    Article  Google Scholar 

  8. Lorensen, W.E., Cline, H.E.: Marching cubes: a high resolution 3D surface construction algorithm. In: ACM SIGGRAPH Computer Graphics, vol. 21, pp. 163–169. ACM (1987)

    Google Scholar 

  9. Villard, B., Zacur, E., Dall’Armellina, E., Grau, V.: Correction of slice misalignment in multi-breath-hold cardiac MRI scans. In: Mansi, T., McLeod, K., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2016. LNCS, vol. 10124, pp. 30–38. Springer, Cham (2017). doi:10.1007/978-3-319-52718-5_4

    Chapter  Google Scholar 

  10. Lopez-Perez, A., Sebastian, R., Ferrero, J.M.: Three-dimensional cardiac computational modelling: methods, features and applications. Biomed. Eng. Online 14, 35 (2015)

    Article  Google Scholar 

  11. Zhang, Z., Konno, K., Tokuyama, K.: 3D terrain reconstruction based on contours. In: 9th International Conference on Computer Aided Design and Computer Graphics, pp. 325–330 (2005)

    Google Scholar 

  12. Wang, Z., Geng, N., Zhang, Z.: Surface mesh reconstruction based on contours. In: International Conference on Computational Intelligence and Software Engineering, pp. 325–330 (2009)

    Google Scholar 

  13. Liu, L., Bajaj, C., Deasy, J.O., Ju, T.: Surface reconstruction from non-parallel curve networks. In: Eurographics, vol. 27 (2008)

    Google Scholar 

  14. Shi, W., Minas, C., Keenan, N.G., Diamond, T., Durighel, G., Montana, G., Rueckert, D., Cook, S.A., O’Regan, D.P., de Marvao, A., Dawes, T.: Population-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power. J. Cardiovasc. Magn. Reson. 16, 16 (2015)

    Google Scholar 

  15. Bai, W., Shi, A.W., Dawes de Marvao, T.J.W., O’Regan, D.P., Cook, S.A., Rueckert, D.: A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion. Med. Image Anal. 26(1), 133–145 (2015)

    Article  Google Scholar 

  16. Moenning, C., Neil, A.D.: Fast marching farthest point sampling for implicit surfaces and point clouds (2003)

    Google Scholar 

  17. Rohr, K., Stiehl, H.S., Sprengel, R., Buzug, T.M., Weese, J., Kuhn, M.H.: Landmark-based elastic registration using approximating thin-plate splines. IEEE Trans. Med. Imaging 20(6), 526–534 (2001)

    Article  Google Scholar 

  18. Sprengel, R., Rohr, K., Stiehl, H.S.: Thin-plate spline approximation for image registration. In: Engineering in Medicine and Biology Society, vol. 18 (1996)

    Google Scholar 

  19. Garland, M., Heckbert, P.S.: Surface simplification using quadric error metrics. In: Proceedings of 24th Annual Conference on Computer Graphics and Interactive Techniques, pp. 209–216. ACM Press/Addison-Wesley Publishing Co. (1997)

    Google Scholar 

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BV acknowledges the support of the RCUK Digital Economy Programme grant number EP/G036861/1 (Oxford Centre for Doctoral Training in Healthcare Innovation). VC was supported by ERACoSysMed through a grant to the project SysAFib - Systems medicine for diagnosis and stratification of atrial fibrillation. RA is supported by a British Heart Foundation Clinical Research Training Fellowship. VG is supported by a BBSRC grant (BB/I012117/1), an EPSRC grant (EP/J013250/1) and by BHF New Horizon Grant NH/13/30238. EZ acknowledges the Marie Sklodowska-Curie Individual Fellowship from the H2020 EU Framework Programme for Research and Innovation [Proposal No: 655020-DTI4micro-MSCA-IF-EF-ST].

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Correspondence to Benjamin Villard .

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Villard, B., Carapella, V., Ariga, R., Grau, V., Zacur, E. (2017). Cardiac Mesh Reconstruction from Sparse, Heterogeneous Contours. In: Valdés Hernández, M., González-Castro, V. (eds) Medical Image Understanding and Analysis. MIUA 2017. Communications in Computer and Information Science, vol 723. Springer, Cham.

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  • Print ISBN: 978-3-319-60963-8

  • Online ISBN: 978-3-319-60964-5

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