Automatic prediction of myocardial contractility improvement in stress MRI using shape morphometrics with independent component analysis

Lecture Notes in Computer Science

Volumn 3565, Issue , 2005, Pages 321-332

  Suinesiaputra, A ^a   Frangi, A F ^b   Lamb, H J ^a   Reiber, J H C ^a   Lelieveldt, B P F ^a  

^a LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^b UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODELS; PATIENT MONITORING; STATISTICAL METHODS;

ISCHEMIC HEART DISEASE; MYOCARDIAL CONTRACTION; PHARMACOLOGICAL STRESS; SHAPE MORPHOMETRICS;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; EXERCISE TEST; HEART CONTRACTION; HEART LEFT VENTRICLE FUNCTION; HEART MUSCLE ISCHEMIA; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; COMPUTER SIMULATION; EXERCISE TEST; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, CARDIOVASCULAR; MYOCARDIAL CONTRACTION; MYOCARDIAL ISCHEMIA; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR DYSFUNCTION, LEFT;

EID: 34047203284     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11505730_27     Document Type: Conference Paper

References (21)

1. Underwood, S.R., Bax, J.J., et. al.: Imaging techniques for the assessment of myocardial hibernation. European Heart Journal 25 (2004) 815-836
2. van der Wall, E.E., Vliegen, H.W., et. al.: Magnetic Resonance Imaging in Coronary Artery Disease. Circulation 92 (1995) 2723-2739
3. van der Geest, R.J., Reiber, J.H.: Quantification in Cardiac MRI. Journal of Magnetic Resonance Imaging 10 (1999) 602-608
4. Nagel, E., Fleck, E.: Functional MRI in Ischemic Heart Disease Based on Detection of Contraction Abnormalities. Journal of Magnetic Resonance Imaging 10 (1999) 411-417
5. Baer, F., Voth, E., et. al.: Gradient-echo magnetic resonance imaging during incremental dobutamine infusion for the localization of coronary artery stenoses. European Heart Journal 15 (1994) 218-225
6. Suinesiaputra, A., Üzümcü, M., Frangi, A., Reiber, J., Lelieveldt, B.: Detecting Regional Abnormal Cardiac Contraction in Short-Axis MR Images Using Independent Component Analysis. In Barillot, C., Haynor, D.R., Hellier, P., eds.: 7th MICCAI Conf., LNCS 3216, Springer-Verlag (2004) 737-744
7. Hyvärinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. John Wiley & Sons, Inc. (2001)
8. Akaho, S.: Conditionally Independent Component Analysis for Supervised Feature Extraction. Neurocomputing 49 (2002) 139-150
9. Bartlett, M.S., Movellan, J.R., Sejnowski, T.J.: Face Recognition by Independent Component Analysis. IEEE Trans. on Neural Network 13 (2002) 1450-1464
10. Lee, T.W., Lewicki, M.S.: Unsupervised Image Classification, Segmentation, and Enhancement Using ICA Mixture Models. IEEE Trans. on Image Processing 11 (2002) 270-279
11. Hyvärinen, A.: Survey on Independent Component Analysis. Neural Computing Surveys 2 (1999) 94-128
12. Dryden, I.L., Mardia, K.V.: Statistical Shape Analysis. John Wiley & Sons (2002)
13. van Rugge, F.P., van der Wall, E.E., et. al.: Magnetic Resonance Imaging During Dobutamine Stress for Detection and Localization of Coronary Artery Disease. Circulation 90 (1994) 127-138
14. Stögbauer, H., Andrzejak, R.G., et. al.: Reliability of ICA Estimates with Mutual Information. In Puntonet, C., Prieto, A., eds.: ICA 2004, LNCS 3195, Granada, Spain, Springer-Verlag (2004) 209-216
15. Cichocki, A., Karhunen, J., et. al.: Neural Networks for Blind Separation with Unknown Number of Sources. Neurocomputing 24 (1999) 55-93
16. Roberts, S.J.: Independent Component Analysis: Source Assessment & Separation, a Bayesian Approach. IEEE Proceedings - Vision, Image & Signal Processing 3 (1998) 149-154
17. Himberg, J., Hyvärinen, A., Esposito, F.: Validating the Independent Components of Neuroimaging Time-Series via Clustering and Visualization. Neurolmage 22 (2004) 1214-1222
18. Bressan, M., Vitrià, J.: Independent Modes of Variation in Point Distribution Models. In Arcelli, C., Cordella, L., di Baja, G.S., eds.: 4th Int. Workshop on Visual Form, IWVF4, LNCS 2059, Springer-Verlag (2001) 123-134
19. Silverman, B.: Density Estimation for Statistics and Data Analysis. Monographs on Statistics and Applied Probability. Chapman and Hall, London (1986)
20. Wand, M., Jones, M.C.: Kernel Smoothing. Chapman and Hall (1995)
21. Cerqueira, M.D., Weissman, N.J., et. al.: Standardized Myocardial Segmentation and Nomenclature for Tomographic Imaging of the Heart: A Statement for Healthcare Professionals From the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation 105 (2002) 539-542