Abstract
A comprehensive model of the end-diastolic human heart is presented that covers multiple surfaces like those of the four chambers and the attached vessels. It also contains the three main coronary arteries and a set of 25 anatomical landmarks. The model was adapted to fit 27 clinical multi-slice computed tomography images thus reflecting the anatomical variability to be observed in that sample. The statistical model is intended to provide a priori information for automated diagnostic and interventional procedures. A number of experiments was performed to determine the accuracy of model-based predictions done on unseen cardiac images. Using an additional deformable surface technique, the model allows for determination of all chambers and the attached vessels on the basis of given anatomical landmarks with an average accuracy of 1.1 mm. After such an individualization of the model by surface adaptation the centreline of the three main coronary arteries may be estimated with an average accuracy of 5.2 mm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gérard O, Collet Billon A, Rouet JM, Jacob M, Fradkin M, Allouche C. Efficient model-based quatification of left ventricular function in 3D echocardiography. IEEE Trans Med Imag 2002;21(9):1059–1068.
Zagrodsky V, Walimbe V, Castro-Pareja CR, Qin JianXin, Song JongMin, Shekhar R. Registration-assisted segmentation of real-time 3-D echocardiographic data using deformable models. IEEE Trans Med Imag 2005;24(9):1089–1099.
Lorenzo-Valdés M, Sanchez-Ortiz GI, Mohiaddin R, Rueckert D. Atlas-based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration. In: Procs MICCAI. Springer; 2002. p. 642–650.
Kaus MR, von Berg J, Weese J, Niessen W, Pekar V. Automated segmentation of the left ventricle in cardiac MRI. Med Img Anal 2004;8:245–254.
Dornheim L, Tönnies K, Dixon K. Automatic segmentation of the left ventricle in 3D SPECT data by registration with a dynamic anatomical model. In: Procs MICCAI. Springer; 2005. p. 335–342.
Oost E, Koning G, Sonka M, Reiber HC, Lelieveldt BPF. Automated Segmentation of X-ray Left Ventricular Angiograms Using Multi-View Active Appearance Models and Dynamic Programming. In: Frangi, Radeva, Santos, Hernandez, editors. LNCS 3504, FIMH. Springer; 2005. p. 23–32.
Chen T, Metaxas D, Axel L. 3D cardiac anatomy reconstruction using high resolution CT data. In: Procs MICCAI. Springer; 2004. p. 411–418.
Frangi AF, Niessen WJ, Viergever MA. Three-dimensional modeling for functional analysis of cardiac images: A review. IEEE TMI 2001;20:2–25.
Lötjönen J, Kivistö S, Koikkalainen J, Smutek D, Lauerma K. Statistical shape model of atria, ventricles and epicardium from short-and long-axis MR images. Med Img Anal 2004;8:371–386.
Pilgram R, Fritscher KD, Schubert R. Modeling of the geometric variation and analysis of the right atrium and right ventricle motion of the human heart using PCA. In: Proc. of CARS. Elsevier; 2004. p. 1108–1113.
von Berg J, Lorenz C. Multi-surface Cardiac Modelling, Segmentation, and Tracking. In: Frangi, Radeva, Santos, Hernandez, editors. LNCS 3504, FIMH. Springer; 2005. p. 1–11.
Marom EM, Herndon JE, Kim YH, McAdams HP. Variations in pulmonary venous drainage to the left atrium: Implications for radiofrequency ablation. Radiology 2004;230(3):824–829.
Dodge JT, Brown BG, Bolson EL, Dodge HT. Intrathoracic spatial location of specified coronary artery segments on the normal human heart. Applications in quantitative arteriography, assessment of regional risk and contraction, and anatomic display. Circulation 1988;78:1167–1180.
Movassaghi B, Rasche V, Grass M, Viergever MA, Niessen WJ. A quantitative analysis of 3-D coronary modeling from two or more projection images. IEEE Transaction on medical imaging 2004;23(912):1571–1531.
Lorenz C, von Berg J, Bülow T, Renisch S, Wergandt S. Modeling the coronary artery tree. In: Proc. of Shape Modeling International 2004. IEEE Comput. Soc; 2004. p. 354–357.
McInerney T, Terzopoulos D. Deformable models in medical image analysis: A survey. Med Img Anal 1996;1(2):91–108.
Ecabert O, Peters J, Lorenz C, von Berg J, Vembar M, Subramanyan K, et al. Towards automatic full heart segmentation in computed-tomography images. In: Computers in Cardiology; 2005.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
von Berg, J., Lorenz, C. (2006). A Statistical Geometric Model of the Heart. In: Handels, H., Ehrhardt, J., Horsch, A., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2006. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32137-3_24
Download citation
DOI: https://doi.org/10.1007/3-540-32137-3_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32136-1
Online ISBN: 978-3-540-32137-8
eBook Packages: Computer Science and Engineering (German Language)