Heart motion abnormality detection via an information measure and bayesian filtering

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 373-380

  Punithakumar, Kumaradevan ^a   Li, Shuo ^a   Ben Ayed, Ismail ^a   Ross, Ian ^b   Islam, Ali ^c   Chong, Jaron ^d  

^a GE HEALTHCARE   (Canada)

^b LONDON HEALTH SCIENCES CENTRE   (Canada)

^c ST JOSEPH S HEALTH CENTRE   (Canada)

^d UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMALITY DETECTION; BAYESIAN FILTERING; BAYESIAN FILTERS; DIFFERENTIAL ENTROPY; EXPERIMENTAL ANALYSIS; FISHER INFORMATION; FUNCTIONAL IMAGES; GLOBAL MEASURES; HEART MOTION; HEART WALL MOTION; INFORMATION MEASURES; INFORMATION THEORETIC MEASURE; LEFT VENTRICULAR; MAGNETIC RESONANCE IMAGES; NOISY DATA; PRIOR KNOWLEDGE; RADIAL DISPLACEMENTS; RADIAL DISTANCE; RADIAL VELOCITY; STATISTICAL INFORMATION; WALL MOTION;

BAYESIAN NETWORKS; FISHER INFORMATION MATRIX; IMAGE SEGMENTATION; INFORMATION THEORY; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; RESONANCE;

HEART;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; CORONARY ARTERY DISEASE; HEART LEFT VENTRICLE FUNCTION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; CORONARY ARTERY DISEASE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR DYSFUNCTION, LEFT;

EID: 84883833971     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_46     Document Type: Conference Paper

References (17)

1. Qian, Z., Liu, Q., Metaxas, D.N., Axel, L.: Identifying Regional Cardiac Abnormalities from Myocardial Strains Using Spatio-temporal Tensor Analysis. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 789-797. Springer, Heidelberg (2008)
2. Qazi, M., Fung, G., Krishnan, S., Bi, J., Bharat Rao, R., Katz, A.: Automated heart abnormality detection using sparse linear classifiers. IEEE Engineering in Medicine and Biology Magazine 26(2), 56-63 (2007) (Pubitemid 46486579)
3. Mansor, S., Noble, J.: Local wall motion classification of stress echocardiography using a Hidden Markov Model approach. In: 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro., pp. 1295-1298 (2008)
4. Ben Ayed, I., Lu, Y., Li, S., Ross, I.: Left Ventricle Tracking Using Overlap Priors. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 1025-1033. Springer, Heidelberg (2008)
5. Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley-Interscience, New York (1991)
6. Frieden, B.R.: Physics from Fisher Information: a Unification. Cambridge University Press, Cambridge (1998)
7. Ben Ayed, I., Li, S., Ross, I.: Tracking distributions with an overlap prior. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-7 (2008)
8. Kim, J., Fisher III, J.W., Cetin, A., Yezzi, A., Cetin, M., Willsky, A.: A nonparametric statistical method for image segmentation using information theory and curve evolution. IEEE Transactions on Image Processing 14(10), 1486-1502 (2005) (Pubitemid 41623080)
9. Biglieri, E., Proakis, J., Shamai, S.: Fading channels: information-theoretic and communications aspects. IEEE Transactions on Information Theory 44(6), 2619-2692 (1998) (Pubitemid 128741903)
10. Studholme, C., Hill, D.L.G., Hawkes, D.J.: An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 32(1), 71-86 (1999)
11. Zhu, Y.M.: Volume image registration by cross-entropy optimization. IEEE Transactions of Medical Imaging 21, 174-180 (2002)
12. Lake, D.E.: Renyi entropy measures of heart rate Gaussianity. IEEE Transactions on Biomedical Engineering 53(1), 21-27 (2006)
13. Porta, A., Guzzetti, S., Montano, N., Furlan, R., Pagani, M., Malliani, A., Cerutti, S.: Entropy, entropy rate, and pattern classification as tools to typify complexity in short heart period variability series. IEEE Transactions on Biomedical Engineering 48(11), 1282-1291 (2001) (Pubitemid 32988569)
14. Bar-Shalom, Y., Li, X.R., Kirubarajan, T.: Estimation with Applications to Tracking and Navigation. Wiley-Interscience, New York (2001)
15. Papademetris, X., Sinusas, A., Dione, D., Constable, R., Duncan, J.: Estimation of 3-D left ventricular deformation from medical images using biomechanical models. IEEE Transactions on Medical Imaging 21(7), 786-800 (2002) (Pubitemid 35250492)
16. Cerqueira, M.D., Weissman, N.J., Dilsizian, V., Jacobs, A.K., Kaul, S., Laskey, W.K., Pennell, D.J., Rumberger, J.A., Ryan, T., Verani, M.S.: 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, 539-542 (2002)
17. Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(5), 564-577 (2003)