Automated grading of left ventricular segmental wall motion by an artificial neural network using color kinesis images

Brazilian Journal of Medical and Biological Research

Volumn 39, Issue 1, 2006, Pages 1-7

  Murta, I O ^a   Ruiz, E E S ^a   Pazin Filho, A ^a   Schmidt, A ^a   Almeida Filho, O C ^a   Simoes M V ^a   Marin Neto, J A ^a   Maciel, B C ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Artificial neural network; Color kinesis images; Left ventricular function

Indexed keywords

ACOUSTICS; ADULT; AGED; ALGORITHM; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CLINICAL ARTICLE; COLOR KINESIS; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DOPPLER ECHOCARDIOGRAPHY; FEMALE; HEART LEFT VENTRICLE FAILURE; HEART LEFT VENTRICLE WALL MOTION; HUMAN; MALE; OBSERVER VARIATION; REAL TIME ECHOGRAPHY; RECEIVER OPERATING CHARACTERISTIC; TECHNIQUE; TWO DIMENSIONAL ECHOCARDIOGRAPHY;

EID: 30744466895     PISSN: 0100879X     EISSN: 1414431X     Source Type: Journal    
DOI: 10.1590/s0100-879x2006000100001     Document Type: Article

References (21)

1. Hoffmann R, Lethen H, Marwick T et al. (1996). Analysis of interinstitutional observer agreement in interpretation of dobutamine stress echocardiograms. Journal of the American College of Cardiology, 27: 330-336.
2. Hoffmann R, Lethen H, Marwick T et al. (1998). Standardized guidelines for the interpretation of dobutamine echocardiography reduce interinstitutional variance in interpretation. American Journal of Cardiology, 82: 1520-1524.
3. Zamorano J, Sanchez V, Moreno R et al. (2002). Contrast agents provide a faster learning curve in dipyridamole stress echocardiography. International Journal of Cardiovascular Imaging, 18: 415-149.
4. Cathers I (1995). Neural network assisted cardiac auscultation. Artificial Intelligence in Medicine, 7: 53-66.
5. Itchhaporia D, Snow PB, Almassy RJ et al. (1996). Artificial neural networks: current status in cardiovascular medicine. Journal of the American College of Cardiology, 28: 515-521.
6. Heden B, Ohlsson M, Rittner R et al. (1996). Agreement between artificial neural networks and experienced electrocardiographer on electrocardiographic diagnosis of healed myocardial infarction. Journal of the American College of Cardiology, 28: 1012-1016.
7. Heden B, Ohlin H, Rittner R et al. (1997). Acute myocardial infarction detected in the 12-lead ECG by artificial neural networks. Circulation, 96: 1798-1802.
8. Lindahl D, Toft J, Hesse B et al. (2000). Scandinavian test of artificial neural network for classification of myocardial perfusion images. Clinical Physiology, 20: 253-261.
9. DeGroff CG, Bhatikar S, Hertzberg J et al, (2001). Artificial neural network-based method of screening heart murmurs in children. Circulation, 103: 2711-2716.
10. Perez JE, Waggoner AD, Barzilai MR et al, (1992). On-line assessment of ventricular function by automatic boundary detection and ultrasonic backscatler imaging. Journal of the American College of Cardiology, 19: 313-320.
11. Perez JE, Klein SC, Prater DM et al. (1992). Automated on-line quantification of left ventricular dimensions and function by echocardiography with backscatter imaging and lateral gain compensation. American Journal of Cardiology, 70: 1200-1205.
12. Marcus RH, Bednarz J, Coulden R et al. (1993). Evaluation of ultrasonic backscatter system for automated real-time endocardial boundary by ultrafast computerized tomography. Journal of the American College of Cardiology, 22: 839-847.
13. Gorcsan III J, Lazar JM, Schulman DS et al. (1993). Comparison of left ventricular function by echocardiographic automated border detection and by radionuclide ejection fraction. American Journal of Cardiology, 72: 810-815.
14. Gorcsan III J, Morita S, Mandarino WA et al. (1993) Two dimensional echocardiographic automated border detection accurately reflects changes in left ventricular volume. Journal of the American Society of Echocardiography, 6: 482-489.
15. Chenzbraun A, Pinto FJ, Popylisen S et al. (1993). Comparison of acoustic quantification and Doppler echocardiography in assessment of left ventricular variables. British Heart Journal, 70: 482-489.
16. Morrissey RL, Sui SC, Guerrero JL et al. (1994) Automated assessment of left ventricular volume and function by echocardiography: validation of automated border detection. Journal of the American Society of Echocardiography, 7: 107-115.
17. Lang RM, Vignon P, Weinert L et al. (1996). Echocardiographic quantification of regional left ventricular wall motion with color kinesis. Circulation, 93: 1877-1885.
18. Prater D (1997). The Fundamentals of Acoustic Quantification and Color Kinesis Technology Echocardiography and Cardio-vascular Function. Tools for the Next Decade, © Kluwer Academic Publishers, USA, ISBN 0-7923-9884-X, 1-9.
19. Minsky M & Papert S (1969). Perceptions. MIT Press, Cambridge. MA, USA.
20. Rumelhart DE, Hinton GE & Williams RJ (1986). Learning representations by back-propagation of errors. Nature, 323: 533-536.
21. Tourassi GD, Floyd CE, Sostman HD et al. (1993). Acute pulmonary embolism: artificial neural network approach for diagnosis. Radiology, 189: 555-558.