Project Description

Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves from 4D Cardiac CT and TEE

The anatomy, function and hemodynamics of the aortic and mitral valves are known to be strongly interconnected. An integrated quantitative and visual assessment of the aortic-mitral coupling may have an impact on patient evaluation, planning and guidance of minimal invasive procedures. We propose a novel model-driven method for functional and morphological characterization of the entire aortic-mitral apparatus. A holistic physiological model is hierarchically defined to represent the anatomy and motion of the two left heart valves. Robust learning-based algorithms are applied to estimate the patient-specific spatial-temporal parameters from four-dimensional TEE and CT data. The piecewise affine location of the valves is initially determined over the whole cardiac cycle using an incremental search performed in marginal spaces. Consequently, efficient spectrum detection in the trajectory space is applied to estimate the cyclic motion of the articulated model. Finally, the full personalized surface model of the aortic-mitral coupling is constructed using statistical shape models and local spatial-temporal refinement. Experiments performed on 65 4D TEE and 69 4D CT sequences demonstrated an average accuracy of 1.45mm and speed of 60 seconds for the proposed approach. Initial clinical validation on model-based and expert measurement showed the precision to be in the range of the inter-user variability. To the best of our knowledge this is the first time a complete model of the aortic-mitral coupling estimated from TEE and CT data is proposed.

Publications

Ionasec, Razvan Ioan ; Voigt, Ingmar ; Georgescu, Bogdan ; Wang, Yang ; Houle, Helene ; Fernando-Vega, Higuera ; Navab, Nassir ; Comaniciu, Dorin:

Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
In: IEEE Transactions on Medical Imaging 9 (2010), Nr. 29, S. 1636-1651

Ionasec, Razvan Ioan; Voigt, Ingmar; Mihalef, Viorel; Grbic, Sasa; Vitanovski, Dime; Wang, Yang; Zheng, Yefeng; Hornegger, Joachim; Navab, Nassir; Georgescu, Bogdan; Comaniciu, Dorin
Patient-specific Modeling of the Heart: Applications to Cardiovascular Disease Management In: Camara, Oscar; Sermesant, Maxime; Rhode, Kawal; Pop, Mihaela; Smith, Nic; Young, Alistair (Eds.)
Proceedings of the International Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM Beijing 20.09.2010) Heidelberg : Springer 2010

Grbic, Sasa; Ionasec, Razvan; Vitanovski, Dime; Voigt, Ingmar; Georgescu, Bogdan; Navab, Nassir; Comaniciu, Dorin
Complete Valvular Heart Apparatus Model from 4D Cardiac CT In: Jiang, T; Navab, N; Pluim, J.P.W; Viergever, M.A. (Eds.)
Proceedings of 13th International Conference on Medical Image Computing and Computer Assisted Intervention ((MICCAI), Beijing, China, September 20-24 2010. Bejing 2010) Heidelberg : Springer 2010, pp. - - ISBN 978-3-642-15744-8 (Recieved the MICCAI 2010 Young Investigators award!)

Ionasec, Razvan Ioan; Voigt, Ingmar; Georgescu, Bogdan; Wang, Yang; Houle, Helene; Hornegger, Joachim; Navab, Nassir; Comaniciu, Dorin
Personalized Modeling and Assessment of the Aortic-Mitral Coupling from 4D TEE and CT In: Guang-Zhong, Yang; David, Hawkes; Daniel, Rueckert; Alison, Noble; Chris ,Taylor (Eds.)
Proceedings of 12th International Conference on Medical Image Computing and Computer Assisted Intervention 2009 (MICCAI 2009 London (UK) 21.-23.09.2009) Heidelberg : Springer 2009, pp. 767-775 - ISBN 978-3-642-04267-6

Ionasec, Razvan Ioan; Wang, Yang; Georgescu, Bogdan; Voigt, Ingmar; Navab, Nassir; Comaniciu, Dorin
Robust Motion Estimation Using Trajectory Spectrum Learning: Application to Aortic and Mitral Valve Modeling from 4D TEE In: IEEE Computer Society (Eds.)
Proceedings of 12th IEEE International Conference on Computer Vision 2009 (ICCV 2009 Kyoto (Japan) 29.09.-02.10.2009) 2009, pp. 1601-1608 - ISBN 978-1-4244-4419-9

Voigt, Ingmar; Ionasec, Razvan Ioan; Georgescu, Bogdan; Houle, Helene; Huber, Martin; Hornegger, Joachim; Comaniciu, Dorin
Model-driven physiological assessment of the mitral valve from 4D TEE In: Miga, Michael; Wong, Kenneth (Eds.)
Proceedings of SPIE Medical Imaging 2009 (SPIE Medical Imaging 2009 Lake Buena Vista 7-12.2.2009) 2009

Media

Featured Article at Siemens Healthcare Website: http://www.medical.siemens.com
Featured Slide from Alec Vahanians Talk at ESC 2011, Source: http://www.medical.siemens.com/webapp/wcs/stores/servlet/CategoryDisplay~q_catalogId~e_-11~a_categoryId~e_1028765~a_catTree~e_100010,1007665,1025267,1028765~a_langId~e_-11~a_storeId~e_10001.htm

Poster Teaser of our Poster awarded at MICCAI'09:

Contact

Address

Dipl.-Ing. Ingmar Voigt

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves from 4D Cardiac CT and TEE



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Department of Computer Science 5 Our Team Voigt, Ingmar Projects Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves from 4D Cardiac CT and TEE Robust Physically-Constrained Modeling of the Mitral Valve and Subvalvular Apparatus Clinical Application and Validation of Personalized Mitral Valve Modeling and Assessment Patient-Specific Model of Left Heart Anatomy, Dynamics and Hemodynamics from 4D TEE Computational Decision Support for Percutaneous Aortic Valve Implantation Towards Patient-Specific Finite-Element Simulation of MitralClip Procedure Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease Calibration of laryngeal endoscopic high-speed image sequences by an automated detection of parallel laser line projections Publications Theses Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Martensstrasse 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Voigt, Ingmar » Projects » Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves from 4D Cardiac CT and TEE Dipl.-Ing. Ingmar Voigt Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg Personalized healthcare with robust patient-specific models of anatomy and function Project Description Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves from 4D Cardiac CT and TEE The anatomy, function and hemodynamics of the aortic and mitral valves are known to be strongly interconnected. An integrated quantitative and visual assessment of the aortic-mitral coupling may have an impact on patient evaluation, planning and guidance of minimal invasive procedures. We propose a novel model-driven method for functional and morphological characterization of the entire aortic-mitral apparatus. A holistic physiological model is hierarchically defined to represent the anatomy and motion of the two left heart valves. Robust learning-based algorithms are applied to estimate the patient-specific spatial-temporal parameters from four-dimensional TEE and CT data. The piecewise affine location of the valves is initially determined over the whole cardiac cycle using an incremental search performed in marginal spaces. Consequently, efficient spectrum detection in the trajectory space is applied to estimate the cyclic motion of the articulated model. Finally, the full personalized surface model of the aortic-mitral coupling is constructed using statistical shape models and local spatial-temporal refinement. Experiments performed on 65 4D TEE and 69 4D CT sequences demonstrated an average accuracy of 1.45mm and speed of 60 seconds for the proposed approach. Initial clinical validation on model-based and expert measurement showed the precision to be in the range of the inter-user variability. To the best of our knowledge this is the first time a complete model of the aortic-mitral coupling estimated from TEE and CT data is proposed. Publications Ionasec, Razvan Ioan ; Voigt, Ingmar ; Georgescu, Bogdan ; Wang, Yang ; Houle, Helene ; Fernando-Vega, Higuera ; Navab, Nassir ; Comaniciu, Dorin: Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE In: IEEE Transactions on Medical Imaging 9 (2010), Nr. 29, S. 1636-1651 Ionasec, Razvan Ioan; Voigt, Ingmar; Mihalef, Viorel; Grbic, Sasa; Vitanovski, Dime; Wang, Yang; Zheng, Yefeng; Hornegger, Joachim; Navab, Nassir; Georgescu, Bogdan; Comaniciu, Dorin Patient-specific Modeling of the Heart: Applications to Cardiovascular Disease Management In: Camara, Oscar; Sermesant, Maxime; Rhode, Kawal; Pop, Mihaela; Smith, Nic; Young, Alistair (Eds.) Proceedings of the International Workshop on Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM Beijing 20.09.2010) Heidelberg : Springer 2010 Grbic, Sasa; Ionasec, Razvan; Vitanovski, Dime; Voigt, Ingmar; Georgescu, Bogdan; Navab, Nassir; Comaniciu, Dorin Complete Valvular Heart Apparatus Model from 4D Cardiac CT In: Jiang, T; Navab, N; Pluim, J.P.W; Viergever, M.A. (Eds.) Proceedings of 13th International Conference on Medical Image Computing and Computer Assisted Intervention ((MICCAI), Beijing, China, September 20-24 2010. Bejing 2010) Heidelberg : Springer 2010, pp. - - ISBN 978-3-642-15744-8 (Recieved the MICCAI 2010 Young Investigators award!) Ionasec, Razvan Ioan; Voigt, Ingmar; Georgescu, Bogdan; Wang, Yang; Houle, Helene; Hornegger, Joachim; Navab, Nassir; Comaniciu, Dorin Personalized Modeling and Assessment of the Aortic-Mitral Coupling from 4D TEE and CT In: Guang-Zhong, Yang; David, Hawkes; Daniel, Rueckert; Alison, Noble; Chris ,Taylor (Eds.) Proceedings of 12th International Conference on Medical Image Computing and Computer Assisted Intervention 2009 (MICCAI 2009 London (UK) 21.-23.09.2009) Heidelberg : Springer 2009, pp. 767-775 - ISBN 978-3-642-04267-6 Ionasec, Razvan Ioan; Wang, Yang; Georgescu, Bogdan; Voigt, Ingmar; Navab, Nassir; Comaniciu, Dorin Robust Motion Estimation Using Trajectory Spectrum Learning: Application to Aortic and Mitral Valve Modeling from 4D TEE In: IEEE Computer Society (Eds.) Proceedings of 12th IEEE International Conference on Computer Vision 2009 (ICCV 2009 Kyoto (Japan) 29.09.-02.10.2009) 2009, pp. 1601-1608 - ISBN 978-1-4244-4419-9 Voigt, Ingmar; Ionasec, Razvan Ioan; Georgescu, Bogdan; Houle, Helene; Huber, Martin; Hornegger, Joachim; Comaniciu, Dorin Model-driven physiological assessment of the mitral valve from 4D TEE In: Miga, Michael; Wong, Kenneth (Eds.) Proceedings of SPIE Medical Imaging 2009 (SPIE Medical Imaging 2009 Lake Buena Vista 7-12.2.2009) 2009 Media Featured Article at Siemens Healthcare Website: http://www.medical.siemens.com Featured Slide from Alec Vahanians Talk at ESC 2011, Source: http://www.medical.siemens.com/webapp/wcs/stores/servlet/CategoryDisplay~q_catalogId~e_-11~a_categoryId~e_1028765~a_catTree~e_100010,1007665,1025267,1028765~a_langId~e_-11~a_storeId~e_10001.htm Poster Teaser of our Poster awarded at MICCAI'09: