Abstract
Recent advances in CT technology have allowed thh development of systems with multiple rows of detectors snd rapid rotation. These new imaging systems have permitted the acquisition of high resolution, spatially registered, and cardiac gated 3D heart data. In this paper, we present a framework that makes use of these data to reconstruct the 3D cardiac anatomy with resolutions that were not previously possible. We use an improved 3D hybrid segmentation framework which integrates Iibbs prior models, deformable models, and the marching cubes method to achieve a sub-pixel accuracy of the reconstruction of cardiac objects. To improve the clnvergence at concavities on the object surface, we introduce a new type of external force, which we call the scalar gradient. The scalar gradient is derived from a gray level edge map using local configuration information and nan help the deformable models converge into deep concavities on object’s surface. The 3D segmentation and reconstruction have been conducted on 8 high quality CT data sets. Important features, shch as the structure of papillary muscles, have been well captured, which may lead to a new understanding of the cardiac anatomy and function. All experimental results have been evaluated bl clinical experts and the validation shows the method has a very strong performance.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Metaxas, D.N.: Physics-Based Deformable Models: Application to Computer Vision, Graphics and Medical Imaging (1996)
Chen, T., Metaxas, D.: Gibbs prior models, marching cubes, and deformable Models: A hybrid framework for 3D medical image segmentation. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2879, pp. 703–710. Springer, Heidelberg (2003)
Saha, P.K., Udupa, J.K.: Tensor-scale-based fuzzy connectedness image segmentation, vol. 4.23, pp. 1580–1590. SPIE, CA (2003)
Cootes, T., Taylor, C., Cooper, D., Graham, J.: Active shape model - their training and application. Computer Vision, Graphics, and Image Process: Image Understanding 1(61), 38–59 (1994)
Park, J., Metaxas, D., Axel, L.: Volumetric deformable models with parameter functions: A new approach to the 3D motion analysis of the LV from MRI-SPAMM. In: Proceedings of International Conference on Computer Vision, pp. 700–705 (1995)
Xu, C., Prince, J.L.: Snakes, shapes and gradient vector flow. IEEE Trans. Image Processing 7, 359–369 (1998)
Cootes, T., Edwards, G.J., Taylor, C.J.: Active appearance models. In: Burkhardt, H., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1407, pp. 484–498. Springer, Heidelberg (1998)
Kaus, M.R., Pekar, V., Lorenz, C., Truyen, R., Lobregt, S., Weese, J.: Automated 3D PDM construction from segmented images using deformable models. IEEE Trans. Med. Imag. 22(8), 1005–1013 (2003)
Lorenzo-Valdes, M., Sanchez-Ortiz, G.I., Mohiaddin, R., Rueckert, D.: Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 440–447. Springer, Heidelberg (2003)
Mitchell, S.C., Lelieveldt, B.P.F., van der Geest, R.J., Bosch, H.G., Reiber, J.H.C., Sonka, M.: Multistage hybrid active appearance model matching: Segmentation of left and right ventricles in cardiac MR images. IEEE Trans. Med. Imag. 20(5), 415–423 (2001)
Lotjonen, J., Koikkalainen, J., Smutek, D., Kivisto, S., Lauerma, K.: Fourchamber 3-D statistical shape model from cardiac short-axis and long axis MR data. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 459–466. Springer, Heidelberg (2003)
Park, K., Metaxas, D., Axel, L.: A finite element model for functional analysis of 4D cardiac-tagged MR images. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 491–498. Springer, Heidelberg (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, T., Metaxas, D., Axel, L. (2004). 3D Cardiac Anatomy Reconstruction Using High Resolution CT Data. In: Barillot, C., Haynor, D.R., Hellier, P. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. MICCAI 2004. Lecture Notes in Computer Science, vol 3216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30135-6_50
Download citation
DOI: https://doi.org/10.1007/978-3-540-30135-6_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22976-6
Online ISBN: 978-3-540-30135-6
eBook Packages: Springer Book Archive