Abstract
Increased resolution in cardiac Magnetic Resonance Imaging (MRI) and growing interest in the effect of small structures in electrophysiology of the heart pose new challenges for cardiac atlases. In this paper we discuss the limitations of current atlas-building models when trying to incorporate cardiac small structure and argue for the need of developing a standard coordinate system for the heart that separates this from the macro-structure common to all individual hearts, in a way analogous to the stereotactic coordinate system from brain atlases. With this goal, we propose a set of methods to obtain two descriptors of the ventricular macro-structure that can be used to build a standardized reference frame: the central curve on the Left Ventricle cavity and the smoothed internal envelope of the Right Ventricle crest (i.e. the curve in the endocardial surface marking the junction between the right ventricular free wall and the septum).
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Bishop, M.J., et al.: Development of an anatomically detailed MRI-derived rabbit ventricular model and assessment of its impact on simulations of electrophysiological function. Am. J. Physiol. Heart Circ. Physiol. 298, H699–H718 (2010)
Bookstein, F.L.: Principal warps: Thin-plate splines and the decomposition of deformations. PAMI 11(6), 567–585 (1989)
Bordas, R., et al.: Integrated approach for the study of anatomical variability in the cardiac purkinje system: from high resolution MRI to electrophysiology simulation. In: IEEE EMBC 2010, Buenos Aires (2010) (in press)
Brandt, R., et al.: Three-dimensional average-shape atlas of the honeybee brain and its applications. J. Comp. Neurol. 492(1), 1–19 (2005)
Burton, R.A.B., et al.: Three-dimensional models of individual cardiac histo-anatomy: tools and challenges. Ann. NY Acad. Sci. 1080, 301–319 (2006)
Casero, R.: Left ventricle functional analysis in 2D+t contrast echocardiography within an atlas-based deformable template model framework, PhD Thesis, University of Oxford (2008)
Casero, R., et al.: Cardiac Valve Annulus Manual Segmentation Using Computer Assisted Visual Feedback in Three-Dimensional Image Data. In: IEEE EMBC 2010, Buenos Aires (2010) (in press)
Cerqueira, M.D., et al.: 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. Circulation 105(4), 539–542 (2002)
Collins, D.L.: 3D model-based segmentation of individual brain structures from magnetic resonance imaging data, PhD Thesis, McGill University, Montreal (1994)
Cootes, T.F., et al.: Training models of shape from sets of examples. In: BMVC 1992, pp. 266–275 (1992)
Frangi, A.F., et al.: Automatic Construction of Multiple-Object Three-Dimensional Statistical Shape Models: Application to Cardiac Modeling. TMI 21(9), 1151–1166 (2002)
Garny, A., et al.: Dimensionality in cardiac modelling. Prog. Biophys. Mol. Biol. 87, 47–66 (2005)
LeGrice, I., et al.: The architecture of the heart: a data-based model. Phil. Trans. R Soc. Lond. A 359, 1217–1232 (2001)
Lelieveldt, B.P.F., et al.: Anatomical Model Matching with Fuzzy Implicit Surfaces for Segmentation of Thoracic Volume Scans. TMI 18(3), 218–230 (1999)
Lorenzo-Valdés, M., et al.: Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2488, pp. 642–650. Springer, Heidelberg (2002)
Mazziotta, J., et al.: A Four-Dimensional Probabilistic Atlas of the Human Brain. J. Am. Medical Informatics Association 8(5), 401–430 (2001)
Romero, D., et al.: Effects of the Purkinje System and Cardiac Geometry on Biventricular Pacing: A Model Study. Ann. Biomed. Eng. 38(4), 1388–1398 (2010)
Schneider, J.E., et al.: Long-term stability of cardiac function in normal and chronically failing mouse hearts in a vertical-bore MR system. Magnetic Resonance Materials in Physics, Biology and Medicine 17(3-6), 162–169 (2004)
Talairach, J., Tournoux, P.: Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System. An Approach to Cerebral Imaging. Thieme Medical Publishers (1988)
Plank, G., et al.: Generation of histo-anatomically representative models of the individual heart: tools and application. Phil. Trans. Series A, Math., phys., and eng. sciences 367(1896), 2257–2292 (2009)
Young, A.A., Frangi, A.F.: Computational cardiac atlases: from patient to population and back. Experimental Physiology 94(5), 578–596 (2009)
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Casero, R. et al. (2010). Towards High-Resolution Cardiac Atlases: Ventricular Anatomy Descriptors for a Standardized Reference Frame. In: Camara, O., Pop, M., Rhode, K., Sermesant, M., Smith, N., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. STACOM 2010. Lecture Notes in Computer Science, vol 6364. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15835-3_8
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DOI: https://doi.org/10.1007/978-3-642-15835-3_8
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