Tracking atria and ventricles simultaneously from cardiac short- and long-axis MR images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2878, Issue , 2003, Pages 467-474

  Lotjonen J ^a   Smutek, D ^a   Kivisto S ^b   Lauerma, K ^b  

^a VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

^b HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BIOMECHANICS; CARDIOVASCULAR SYSTEM; DATA ACQUISITION; DISEASES; IMAGE SEGMENTATION; MEDICAL IMAGING;

ANATOMY; CARDIAC MOTION; CARDIOVASCULAR DISEASES; DATASETS;

MAGNETIC RESONANCE IMAGING;

EID: 0344823765     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39899-8_58     Document Type: Article

References (11)

1. A.F. Frangi, W.J. Niessen and M.A. Viergever. Three-Dimensional Modeling for Functional Analysis of Cardiac Images: A review. IEEE Trans. Med. Imag., 20(1): 2-25, 2001.
2. L.H. Staib and J.S. Duncan. Model-based deformable surface finding for medical images. IEEE Trans. Med. Imag., 15(5): 720-731, 1996.
3. M-P. Jolly. Combining Edge, Region, and Shape Information to Segment the Left Ventricle in Cardiac MR Images. Lecture Notes in Computer Science 2208: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001, Eds. W.J. Niessen and M.A. Viergever, pp. 482-490, 2001.
4. S.C. Mitchell, J.G. Bosch, B.P.F. Lelieveldt, R.J. van der Geest, J.H.C. Reiber and M. Sonka. 3-D Active Appearance Models: Segmentation of Cardiac MR and Ultrasound Images. IEEE Trans. Med. Imag., 21(9): 1167-1178, 2002.
5. S. Kumar and D. Goldgof. Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images. IEEE Trans. Med. Imag., 13(1): 122-132, 1994.
6. Y. Chen and A.A. Amini. A MAP Framework for Tag Line Detection in SPAMM Data Using Markov Random Fiels on the B-Spline Solid. IEEE Trans. Med. Imag., 21(9): 1110-1122, 2002.
7. A. Montillo, D. Metaxas and L. Axel. Automated Segmentation of the Left and Right Ventricles in 4D Cardiac SPAMM Images. Lecture Notes in Computer Science 2488: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, Eds. D. Dohia and R. Kikinis, pp. 620-633, 2002.
8. M. Lorenzo-Valdés, G.I. Sanchez-Ortiz, R. Mohiaddin and D. Rueckert. Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration. Lecture Notes in Computer Science 2488: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, Eds. D. Dohi and R. Kikinis, pp. 642-650, 2002.
9. J. Lötjönen. Segmentation of MR Images using Deformable Models: Application to Cardiac Images. International Journal of Bioelectromagnetism, 3(2), 2001, http://ee.tut.fi.rgi/ijbem.
10. G.J. Grevera and J.K. Udupa. Shape-Based Interpolation of Multidimensional Grey-Level Images. IEEE Trans. Med. Imag., 15(6): 881-892, 1996.
11. C. Studholme, D.L.G. Hill and D.J. Hawkes. Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multireolution optimization of voxel similarity measures. Medical Physics, 24(1): 71-86, 1997.