Abstract
We introduce a framework for the automatic segmentation of the ventricles, atria, and epicardium simultaneously from cardiac magnetic resonance (MR) volumes. The basic idea is to utilize both short-axis (SA) and long-axis (LA) MR volumes. Consequently, anatomical information is available from the whole heart volume. In this paper, the framework is used with deformable model based registration and segmentation methods to segment the cardiac structures. A database consisting of the cardiac MR volumes of 25 healthy subjects is used to validate the methods.
The results presented in this paper prove that by using both the SA and LA MR volumes the ventricles and atria can be simultaneously segmented from cardiac MR volumes with a good accuracy. The results show that notably better segmentation results are obtained when the LA volumes are used in addition to the SA volumes. For example, this enables accurate segmentation of the ventricles also in the basal and apical levels.
Chapter PDF
Similar content being viewed by others
Keywords
- Normalize Mutual Information
- Active Appearance Model
- Statistical Shape Model
- Database Subject
- Deformation Sphere
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
Frangi, A.F., Niessen, W.J., Viergever, M.A.: Three-Dimensional Modeling for Functional Analysis of Cardiac Images: A Review. IEEE Trans. Med. Imag. 20(1), 2–25 (2001)
Lorenzo-Valdés, M., Sanchez-Ortiz, G.I., Mohiaddin, R., Rueckert, D.: Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2488, pp. 642–650. Springer, Heidelberg (2002)
Lorenzo-Valdés, 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. 440–450. Springer, Heidelberg (2003)
Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active Shape Models - their training and application. Comput. Vis. Image Underst. 61(1), 38–59 (1995)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active Appearance Models. In: Proc. European Conference on Computer Vision, pp. 484–498 (1998)
Kaus, M.R., von Berg, J., Niessen, W., Pekar, V.: Automated Segmentation of the Left Ventricle in Cardiac MRI. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 432–439. 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)
Mitchell, S.C., Bosch, J.G., Lelieveldt, B.P.F., van der Geest, R.J., Reiber, J.H.C., Sonka, M.: 3-D Active Appearance Models: Segmentation of Cardiac MR and Ultrasound Images. IEEE Trans. Med. Imag. 21(9), 1167–1178 (2002)
Suri, J.S.: Computer Vision, Pattern Recognition and Image Processing in Left Ventricle Segmentation: The Last 50 Years. Pattern Analysis & Applications 3, 209–242 (2000)
Paragios, N.: A Level Set Approach for Shape-Driven Segmentation and Tracking of the Left Ventricle. IEEE Trans. Med. Imag. 22(6), 773–776 (2003)
Gering, D.T.: Automatic Segmentation of Cardiac MRI. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 524–532. Springer, Heidelberg (2003)
Lötjönen, J., Mäkelä, T.: Elastic matching using a deformation sphere. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 541–548. Springer, Heidelberg (2001)
Lötjönen, J., Smutek, D., Kivistö, S., Lauerma, K.: Tracking Atria and Ventricles Simultaneously from Cardiac Short- and Long-Axis MR Images. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 467–474. Springer, Heidelberg (2003)
Lötjönen, J., Koikkalainen, J., Smutek, D., Kivistö, S., Lauerma, K.: Four-Chamber 3-D Statistical Shape Model from Cardiac Short-Axis and Long-Axis MR Images. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 459–466. Springer, Heidelberg (2003)
Lelieveldt, B.P.F., Üzümcü, M., van der Geest, R.J., Reiber, J.H.C., Sonka, M.: Multiview Active Appearance Models for Consistent Segmentation of Multiple Standard Views: Application to Long and Short-axis Cardiac MR Images. Computer Assisted Radiology and Surgery 1256, 1141–1146 (2003)
Guimond, A., Thirion, J.-P.: Average Brain Models, A Convergence Study. Computer Vision and Image Understanding 2, 192–210 (2000)
Frangi, A.J., Rueckert, D., Schnabel, J.A., Niessen, W.J.: Automatic Construction of Multiple-Object Three-Dimensional Statistical Shape Models: Application to Cardiac Modeling. IEEE Trans. Med. Imag. 21(9), 1151–1166 (2002)
Lötjönen, J., Pollari, M., Kivistö, S., Lauerma, K.: Correction of movement artifacts from 4-D cardiac short- and long-axis MR data. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 405–412. Springer, Heidelberg (2004) ( in press)
Studholme, C., Hill, D.L.G., Hawkes, D.J.: Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures. Medical Physics 24(1), 71–86 (1997)
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
Koikkalainen, J., Pollari, M., Lötjönen, J., Kivistö, S., Lauerma, K. (2004). Segmentation of Cardiac Structures Simultaneously from Short- and Long-Axis MR Images. 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_52
Download citation
DOI: https://doi.org/10.1007/978-3-540-30135-6_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22976-6
Online ISBN: 978-3-540-30135-6
eBook Packages: Springer Book Archive