Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images

Medical Image Analysis

Volumn 8, Issue 3, 2004, Pages 371-386

  Lötjönen, Jyrki ^a   Kivisto S ^b   Koikkalainen, J ^c   Smutek, D ^a   Lauerma, K ^b  

^a VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

^c AALTO UNIVERSITY   (Finland)

Author keywords

Atlas; Cardiac models; Model based image analysis; Shape analysis; Statistical shape models

Indexed keywords

ADULT; ARTICLE; CARDIOVASCULAR DISEASE; COMPUTER PROGRAM; EPICARDIUM; HEART ATRIUM; HEART VENTRICLE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MATHEMATICAL COMPUTING; NONPARAMETRIC TEST; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ADULT; HEART ATRIA; HEART VENTRICLES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; PERICARDIUM; PROBABILITY;

EID: 4444300723     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2004.06.013     Document Type: Article

References (33)

1. Alfakih K. Thiele S.P. Jones T. Ridgway J. Sivananthan M. Normal human left and right ventricular dimensions for MRI as assesses by turbo gradient echo and steady-state free precession imaging sequences JMRI 107 2003 323-329
2. Caunce A. Taylor C.J. Building 3D sulcal models using local geometry Med. Image Anal. 5 1 2001 69-80
3. Chen M. Pomerleau D. Schneider J. 3-D deformable registration of medical images using a statistical atlas in: Taylor C. Colchester A. eds. Medical Image Computing and Computer-Assisted Intervention, MICCAI99 Lecture Notes in Computer Science vol. 1679 1999 621-630 Springer Berlin
4. Cootes T.F. Taylor C.J. Cooper D.H. Graham J. Active shape models - their training and application Computer Vision Image Understand. 61 1 1995 38-59
5. Cootes, T.F., Edwards, G.J., Taylor, C.J., 1998. Active appearance models. In: Burkhardt, H., Neumann, B. (Eds.), Proceedings of the European Conference on Computer Vision, vol. 2, pp. 484-498
6. Duda R.O. Hart P.E. Pattern Classification and Scene Analysis 1973 John Wiley & Sons New York
7. FastICA, 1998. Matlab package [online]. Available: http: http://www.cis.hut.fi/projects/ica/fastica
8. Frangi A. Niessen W. Viergever M. Three-dimensional modeling for functional analysis of cardiac images: A review IEEE Trans. Med. Imag. 20 1 2001 2-25
9. Frangi A. Rueckert D. Schnabel J. Niessen W. Automatic construction of multiple-object three-dimensional statistical shape models: Applications to cardiac modeling IEEE Trans. Med. Imag. 21 9 2002 1151-1166
10. Grevera G.J. Udupa J.K. Shape-based interpolation of multidimensional grey-level images IEEE Trans. Med. Imag. 15 6 1996 881-892
11. Guimond A. Thirion J.-P. Average brain models. A convergence study Computer Vision Image Understand. 77 2 2000 192-210
12. Hill D. Hajnal J. Rueckert D. Smith S. Hartkens T. McLeish K. A dynamic brain atlas in: Dohi D. Kikinis R. eds. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 Lecture Notes in Computer Science vol. 2488 2002 532-539 Springer Berlin
13. Hyvärinen A. Karhunen J. Oja E. Independent Component Analysis 2001 John Wiley & Sons New York
14. Järvinen V. Hekali P. Poutanen V.-P. Kupari M. Right atrial MR imaging studies of cadaveric atrial casts and comparison with right and left atrial volumes and function in healthy subjects Radiology 191 1994 137-142
15. Järvinen V. Kupari M. Hekali P. Poutanen V.-P. Assessment of left atrial volumes and phasic function using cine magnetic resonance imaging in normal subjects Am. J. Cardiol. 73 1994 1135-1138
16. Koikkalainen, J., Lötjönen, J., 2004. Image segmentation with the combination of the PCA- and ICA-based shape models. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004. pp. 149-152
17. Leemput K.V. Maes F. Vandermeulen D. Suetens P. Automated model-based tissue classification of MR images of the brain IEEE Trans. Med. Imag. 18 10 1999 897-908
18. Lelieveldt, B., Üzümcü, M., van der Geest, R., Reiber, J., Sonka, M., 2003. Multi-view active appearance models for consistent segmentation of multiple standard views: Application to long and short-axis cardiac MR images. In: Computer As-sitested Radiology and Surgery (CARS), vol. 1256. pp. 1141-1146
19. Lorenzo-Valdés M. Sancheez-Ortiz G. Mohiaddin R. Rueckert D. Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm in: Ellis R. Peters T. eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 Lecture Notes in Computer Science vol. 2878 2003 440-450 Springer Berlin
20. Lötjönen J. Construction of patient-specific surface models from MR images: application to bioelectromagnetism Computer Meth. Program. Biomed. 72 2 2003 167-178
21. Lötjönen J. Mäkelä T. Elastic matching using a deformation sphere in: Niessen W.J. Viergever M.A. eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 Lecture Notes in Computer Science vol. 2208 2001 541-548 Springer Berlin
22. Lötjönen J. Koikkalainen J. Smutek D. Kivistö S. Lauerma K. Four-chamber statistical 3-D heart model from short-axis and long-axis in: MR images Ellis R. Peters T. eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 Lecture Notes in Computer Science vol. 2878 2003 459-466 Springer Berlin
23. Lötjönen J. Smutek D. Kivistö S. Lauerma K. Tracking atria and ventricles simultaneously from cardiac short-and long-axis MR images in: Ellis R. Peters T. eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 Lecture Notes in Computer Science vol. 2878 2003 467-474 Springer Berlin
24. Lötjönen, J., Pollari, M., Kivistö, S., Lauerma, K., 2004. Correction of movement artifacts from 4-D cardiac short- and long-axis MR data. In: Lecture Notes in Computer Science: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2004. Springer, Berlin, in press
25. McLeish K. Hill D. Atkinson D. Blackall J. Razavi R. A study of the motion and deformation of the heart due to respiration IEEE Trans. Med. Imag. 21 9 2002 1142-1150
26. Mitchell S. Bosch J. Lelieveldt B. van der Geest R. Reiber J. Sonka M. 3-D active appearance models: Segmentation of cardiac MR and ultrasound images IEEE Trans. Med. Imag. 21 9 2002 1167-1178
27. Moore J. Drangova M. Wierzbicki M. Barron J. Peters T. A high resolution dynamic heart model based on averaged MRI data in: Ellis R. Peters T. eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 Lecture Notes in Computer Science vol. 2878 2003 549-555 Springer Berlin
28. Rohde G. Aldroubi A. Dawant B. The adaptive bases algorithm for intensity-based nonrigid image registration IEEE Trans. Med. Imag. 21 11 2003 1470-1479
29. Rueckert D. Frangi A. Schnabel J. Automatic construction of 3D statistical deformation models using non-rigid registration in: Niessen W. Viergever M. eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 Lecture Notes in Computer Science vol. 2208 2001 77-84 Springer Berlin
30. Rueckert D. Frangi A. Schnabel J. Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration IEEE Trans. Med. Imag. 22 8 2003 1014-1025
31. Studholme C. Hill D. Hawkes D. An overlap invariant entropy measure of 3d medical image alignment Pattern Recogn. 32 1 1999 71-86
32. Thompson P.M. Toga A.W. Detection, visualization and animation of abnormal anatomic structure with a deformable probabilistic brain atlas based on random vector field transformation Med. Image Anal. 1 4 1997 271-294
33. Uzümcü M. Frangi A. Sonka M. Reiber J. Lelieveldt B. ICA vs. PCA active appearance models: Application to cardiac MR segmentation in: Ellis R. Peters T. eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 Lecture Notes in Computer Science vol. 2878 2003 451-458 Springer Berlin