Aortic valve and ascending aortic root modeling from 3D and 3D+t CT

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7625, Issue , 2010, Pages

  Grbić, Saša ^a   Ionasec, Razvan Ioan ^a   Zäuner, Dominik ^a   Zheng, Yefeng ^a   Georgescu, Bogdan ^a   Comaniciu, Dorin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Model based quantitative visual assessment; Physiological valve modeling

Indexed keywords

BLOOD VESSELS; COMPUTERIZED TOMOGRAPHY; MEDICAL IMAGING; NONINVASIVE MEDICAL PROCEDURES; PHYSIOLOGICAL MODELS; VISUALIZATION;

GLOBAL POPULATION; INTERVENTION PLANNING; NON-INVASIVE ASSESSMENTS; PLANNING PROCEDURE; STATE-OF-THE-ART APPROACH; SURGICAL PROCEDURES; VALVE MODELS; VISUAL ASSESSMENTS;

3D MODELING;

EID: 78049422834     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.844566     Document Type: Conference Paper

References (16)

1. Yacoub, M., Gehle, P., Chandrasekaran, V., Birks, E., Child, A., and Radley-Smith, R., "Late results of a valve-preserving operation in patients with aneurysms of the ascending aorta and root.", The Journal of thoracic and cardiovascular surgery 115(5), 1080-1090 (1998).
2. Anderson, R., "The surgical anatomy of the aortic root", Multimedia Manual of Cardiothoracic Surgery (MMCTS) (2006). doi:10.1510/mmcts.2006.002527.
3. de Hart, J., Peters, G., Schreurs, P., and Baaijens, F., "A three-dimensional computational analysis of fluid-structure interaction in the aortic valve", in [Journal of Biomechanics], 36 (2002).
4. Dagum, P., Green, G., Nistal, F., Daughters, G., Timek, T., Foppiano, L., Bolger, A., Ingels, N., and Miller, D., "Deformational dynamics of the aortic root: modes and physiologic determinants.", Circulation 100(19 Suppl), II54-II62 (1999).
5. Peskin, C. S. and McQueen, D. M., [Case Studies in Mathematical Modeling: Ecology, Physiology, and Cell Biology], Prentice-Hall, Englewood Cliffs, NJ, USA (1996).
6. Ionasec, R. I., Voigt, I., Georgescu, B., Wang, Y., Houle, H., Hornegger, J., Navab, N., and Comaniciu, D., "Personalized modeling and assessment of the aortic-mitral coupling from 4d tee and ct", in [International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (to appear)], (September 2009).
7. Ionasec, R. I., Wang, Y., Georgescu, B., Voigt, I., Navab, N., and Comaniciu, D., "Robust motion estimation using trajectory spectrum learning: Application to aortic and mitral valve modeling from 4d tee", in [Proceedings of the Twelfth International Conference on Computer Vision (ICCV)], IEEE, Kyoto, Japan (September-October 2009).
8. Ionasec, R. I., Voigt, I., Georgescu, B., Houle, H., Hornegger, J., Navab, N., and Comaniciu, D., "Modeling and assessment of the aortic-mitral valve coupling from 4d tee and ct", in [Proc. Int'l Conf. Medical Image Computing and Computer Assisted Intervention], in progress (2009).
9. Ionasec, R. I., Georgescu, B., Gassner, E., Vogt, S., Kutter, O., Scheuering, M., Navab, N., and Comaniciu, D., "Dynamic model-driven quantification and visual evaluation of the aortic valve from 4d ct", in [Proc. Int'l Conf. Medical Image Computing and Computer Assisted Intervention], 686-694 (2008).
10. Piegl, L. and Tiller, W., [The NURBS book], Springer-Verlag, London, UK (1995).
11. Zheng, Y., Georgescu, B., Haibin, L., Zhou, K. S., Scheuering, M., and Comaniciu, D., "Constrained marginal space learning for efficient 3d anatomical structure detection in medical images", Proc. International Conference on Computer Vision and Pattern Recognition (2009).
12. Viola, P. and Jones, M., "Robust real-time face detection", International Journal of Computer Vision 57(2), 137-154 (2003).
13. Freeman, W. T. and Adelson, E. H., "The design and use of steerable filters", IEEE Trans. Pattern Anal. Machine Intell. 13(9), 891-906 (1991).
14. Zheng, Y., Barbu, A., and et al., "Fast automatic heart chamber segmentation from 3d ct data using marginal space learning and steerable features", in [International Conference on Computer Vision], (2007).
15. Cootes, T., Taylor, C., Cooper, D., and Graham, J., "Active shape models: Their training and application", Computer Vision and Image Understanding 61, 38-59 (January 1995).
16. Casero, R. C. and Noble, J., "A novel explicity 2d+t cyclic shape model applied to echocardiography", in [Proc. Int'l Conf. Medical Image Computing and Computer Assisted Intervention], 527-534 (2008).