Subject Independent Reference Frame for the Left Ventricular Detailed Cardiac Anatomy
Mapping of surfaces to a parametric domain is a widely used tool in medical imaging for analysis and localization of injured tissue. By assigning the same coordinate values to specific anatomical landmarks, parametrization allows us putting into correspondence surfaces of anatomical shapes with inherently different geometry and facilitates integration of data acquired by different imaging modalities. In this paper we propose a method for subject independent anatomical parametrization of the left ventricular (LV) wall that includes trabeculations, papillary muscles and false tendons. The method relies on a disk parametrization of the LV smooth epicardium and mapping the interior of the ventricular cavity using ray casting. In this way we define a common reference frame whereupon any LV is mapped in a consistent way thus allowing for statistical analysis and comparisons between different patients.
KeywordsLeft ventricle Parametrization Coordinate system Surface flattening Cardiac trabeculations
The Dicom datasets were provided by the Visible Heart® Laboratory , they were obtained by MRI scanning perfusion fixed hearts that were graciously donated by the organ donors and their families through LifeSource. B. Paun is supported by the grant FI-DGR 2014 (2014 FI B01238) from the Generalitat de Catalunya. The research leading to these results has received funding from the EU FP7 for research, technological development and demonstration under grant agreement VP2HF (no. 611823). This study was partially funded by the Spanish Ministry of Science and Innovation (TIN2011-28067).
- 1.Wilcox, B., Cook, A., Anderson, R.H.: Anatomy of the cardiac chambers. In: Surgical Anatomy of the Heart, pp. 11–44 (2004)Google Scholar
- 3.Gao, M., Chen, C., Zhang, S., et al.: Segmenting the papillary muscles and the trabeculae from high resolution cardiac CT through restoration of topological handles. In: Gee, J.C., Joshi, S., Pohl, K.M., Wells, W.M., Zöllei, L. (eds.) IPMI 2013. LNCS, vol. 7917, pp. 184–195. Springer, Heidelberg (2013) CrossRefGoogle Scholar
- 4.Gao, M., Chen, C., Zhang, S., et al.: Morphological analysis of the papillary muscles and the trabeculae. In: Proceedings of IEEE 11th International Symposium on Biomedical Imaging (ISBI), pp. 373–376 (2014)Google Scholar
- 13.Vera, S., Ballester, M.A.G., Gil, D.: Anatomical parameterization for volumetric meshing of the liver. In: Proceedings of SPIE, vol. 9036, pp. 903605–903605 (2014)Google Scholar
- 16.De Craene, M., Tobon-Gomez, C., Butakoff, C., et al.: Temporal diffeomorphic free form deformation (TDFFD) applied to motion and deformation quantification of tagged MRI sequences. In: Camara, O., Konukoglu, E., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2011. LNCS, vol. 7085, pp. 68–77. Springer, Heidelberg (2012) Google Scholar
- 17.T.V.H. Laboratory, January 2015. http://www.vhlab.umn.edu
- 18.CIBC, “Seg3d: Volumetric image segmentation and visualization,” Scientific Computing and Imaging Institute (SCI) (2015)Google Scholar
- 19.Squillacote, A.H.: The Paraview Guide: A Parallel Visualization Application. Kitware Inc., New York (2007)Google Scholar
- 20.Attene, M., Falcidieno, B.: Remesh: an interactive environment to edit and repair triangle meshes. In: Proceedings of IEEE International Conference on Shape Modeling and Applications, pp. 41–41 (2006)Google Scholar
- 21.Schroeder, W., Martin, K., Lorensen, B.: The Visualization Toolkit, 4th edn. Kitware Inc., Clifton Park (2006) Google Scholar
- 22.Cerqueira, M.D., Weissman, N.J., Dilsizian, V., 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)CrossRefGoogle Scholar