Development and evaluation of an automatic segmentation method of endocardial border in cardiac magnetic resonance images;Développement et évaluation d'une méthode de segmentation automatique de l'endocarde sur des images acquises par résonance magnétique

ITBM-RBM

Volumn 28, Issue 3-4, 2007, Pages 117-123

  El Berbari, R ^a,b,c   Frouin, F ^a,b   Redheuil, A ^a,d   Angelini, E D ^c   Mousseaux, E ^a,d   Bloch, I ^c   Herment, A ^a,b  

^a PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c INSTITUT TELECOM   (France)

^d HÔPITAL EUROPÉEN GEORGES POMPIDOU   (France)

Author keywords

Cardiac MRI; Connected filters; Deformable models; Evaluation; Papillary muscles; Segmentation

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; DIAGNOSTIC PROCEDURE; ENDOCARDIUM; HEART; NUCLEAR MAGNETIC RESONANCE IMAGING;

EID: 36749095703     PISSN: 12979562     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rbmret.2007.07.001     Document Type: Article

References (21)

1. Gerber B.L., Garot J., Bluemke D.A., Wu K.C., and Lima J.A. Accuracy of contrast-enhanced magnetic resonance imaging in predicting improvement of regional myocardial function in patients after acute myocardial infarction. Circulation 106 9 (2002) 1083-1089
2. Beek A.M., Kuhl H.P., Bondarenko O., Twisk J.W., Hofman M.B., van Dockum W.G., et al. Delayed contrast-enhanced magnetic resonance imaging for the prediction of regional functional improvement after acute myocardial infarction. J. Am. Coll. Cardiol. 42 5 (2003) 895-901
3. Hsu L.Y., Natanzon A., Kellman P., Hirsch G.A., Aletras A.H., and Arai A.E. Quantitative myocardial infarction on delayed enhancement MRI. Part I: animal validation of an automated feature analysis and combined thresholding infarct sizing algorithm. J. Magn. Reson. Imaging 23 3 (2006) 298-308
4. El Berbari R, Kachenoura N, Redheuil A, Bloch I, Mousseaux E, Frouin F. Using cine-MR images to evaluate myocardial infarct transmurality on delayed enhancement images. IEEE International Symposium on Biomedical Imaging: from Nano to Macro 2006:145-8.
5. Lynch M., Ghita O., and Whelan P.F. Automatic segmentation of the left ventricle cavity and myocardium in MRI data. Comput. Biol. Med. 36 4 (2006) 389-407
6. Monitillo A., Metaxas D., and Axel L. Automated segmentation of the left and right ventricles in 4D cardiac SPAMM images. MICCAI LNCS 2488 (2002) 620-633
7. Noble N.M., Hill D.L., Breeuwer M., Schnabel J.A., Hawkes D.J., Gerritsen F.A., et al. Myocardial delineation via registration in a polar coordinate system. Acad. Radiol. 10 12 (2003) 1349-1358
8. Cousty J., Najman L., Couprie M., Guinaudeau A., Goissen T., and Garot J. Automated, Accurate and fast Segmentation of 4D cardiac MR Images. FIMH LNCS 4466 (2007) 474-483
9. Kaus M., Berg J., Weese J., Niessen W., and Vladimir P. Automated segmentation of the left ventricle in cardiac MRI. MICCAI LNCS 2878 (2003) 432-439
10. Zhu Y, Papademetris X, Duncan JS, Sinuas A. Cardiac MR Images segmentation with incompressibility constraint. IEEE International Symposium on Biomedical Imaging: from Nano to Macro 2007:185-8.
11. Makela T., Pham Q., Clarysse P., Nenonen J., Lotjonen J., and Sipila O. A 3D model based registration approach for the PET, MR, and MCG cardiac data fusion. Med. Image Anal. 7 (2003) 377-389
12. Pluempitiwiriyawej C., Moura J.M., Wu Y.J., and Ho C. STACS: new active contour scheme for cardiac MR image segmentation. IEEE Trans. Med. Imaging 24 5 (2005) 593-603
13. Graves M.J., Berry E., Eng A.A., Westhead M., Black R.T., Beacock D.J., et al. A multicenter validation of an active contour-based left ventricular analysis technique. J. Magn. Reson. Imaging 12 2 (2000) 232-239
14. Garcia de Pablo M., Malpica N., Ledesma Carbayo M., Jiménez-Borreguero L., and Santos A. Semi automatic estimation and visualization of left ventricle volumes in cardiac MRI. Comput. Cardiol. 32 (2005) 399-402
15. Tanki N., Murase K., Kumashiro M., Momoi R., Yang X., Tabuchi T., et al. Quantification of left ventricular volumes from cardiac cine MRI using active contour model combined with gradient vector flow. Magn. Reson. Med. Sci. 4 4 (2005) 191-196
16. Jolly M. Automatic segmentation of the left ventricle in cardiac MRI and CT images. Int. J. Comput. Vis. 70 (2006) 151-163
17. Spreeuwers L., Bangma S., Meerwaldt R., Vonken E., and Breeuwer M. Detection of trabeculae and papillary muscles in cardiac MR images. Comput. Cardiol. 32 (2005) 415-418
18. Meijster A., and Wilkinson M. A comparison of algorithms for connected set openings and closings. IEEE Trans Patt. Anal. Mach. Intell. 24 (2002) 484-494
19. Xu C., and Prince J. Snakes, shapes, and gradient vector flow. IEEE Trans Med. Imag. 7 (1998) 359-369
20. Cerqueira M., Weissman N.J., Dilsizian V., Jacobs A.K., Kaul S., and Laskey W. Cardiac imaging committee of the council on clinical cardiology of the imaging of the heart: a statement for healthcare professionals from the standardized myocardial segmentation and nomenclature for tomographic. Circulation 105 (2002) 539-542
21. El Berbari R, Bloch I, Redheuil A, Angelini E, Mousseaux E, Frouin F. An automated myocardial segmentation in cardiac MRI. Proceedings of IEEE EMBS 2007.