Abstract
2D echocardiography which is the golden standard in clinics becomes the new trend of analysis in diving via its high advantages in portability for diagnosis. By the way, the major weakness of this system is non-integrated analysis platform for bubble recognition. In this study, we developed a full automatic method to recognize bubbles in videos. Gabor Wavelet based neural networks are commonly used in face recognition and biometrics. We adopted a similar approach to overcome recognition problem by training our system through real bubble morphologies. Our method does not require a segmentation step which is almost crucial in several studies. Our correct detection rate varies between 82.7-94.3%. After the detection, we classified our findings on ventricles and atria using fuzzy k-means algorithm. Bubbles are clustered in three different subjects with 84.3-93.7% accuracy rates. We suggest that this routine would be useful in longitudinal analysis and subjects with congenital risk factors.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Balestra, C., Germonpre, P., Marroni, A., Cronje, F.J.: PFO & the diver. Best Publishing Company, Flagstaff (2007)
Blatteau, J.E., Souraud, J.B., Gempp, E., Boussuges, A.: Gas nuclei, their origin, and their role in bubble formation. Aviat Space Environ. Med. 77, 1068–1076 (2006)
Tufan, K., Ademoglu, A., Kurtaran, E., Yildiz, G., Aydin, S., Egi, S.M.: Automatic detection of bubbles in the subclavian vein using doppler ultrasound signals. Aviat Space Environ. Med. 77, 957–962 (2006)
Nakamura, H., Inoue, Y., Kudo, T., Kurihara, N., Sugano, N., Iwai, T.: Detection of venous emboli using doppler ultrasound. European Journal of Vascular & Endovascular Surgery 35, 96–101 (2008)
Eftedal, O., Brubakk, A.O.: Agreement between trained and untrained observers in grading intravascular bubble signals in ultrasonic images. Undersea Hyperb. Med. 24, 293–299 (1997)
Eftedal, O., Brubakk, A.O.: Detecting intravascular gas bubbles in ultrasonic images. Med. Biol. Eng. Comput. 31, 627–633 (1993)
Eftedal, O., Mohammadi, R., Rouhani, M., Torp, H., Brubakk, A.O.: Computer real time detection of intravascular bubbles. In: Proceedings of the 20th Annual Meeting of EUBS, Istanbul, pp. 490–494 (1994)
Norton, M.S., Sims, A.J., Morris, D., Zaglavara, T., Kenny, M.A., Murray, A.: Quantification of echo contrast passage across a patent foramen ovale. In: Computers in Cardiology, pp. 89–92. IEEE Press, Cleveland (1998)
Shen, L., Bai, L.: A review on gabor wavelets for face recognition. Pattern Anal. Applic. 9, 273–292 (2006)
Hjelmas, E.: Face detection a survey. Comput. Vis Image Underst. 83, 236–274 (2001)
Tian, Y.L., Kanade, T., Cohn, J.F.: Evaluation of gabor wavelet based facial action unit recognition in image sequences of increasing complexity. In: Fifth IEEE International Conference on Automatic Face and Gesture Recognition, Washington, pp. 229–234 (2002)
Daugman, J.G.: Complete discrete 2D gabor transforms by neural networks for image analysis and compression. IEEE Trans. Acoustics Speech Signal Process 36, 1169–1179 (1988)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Parlak, I.B. et al. (2011). A Neuro-fuzzy Approach of Bubble Recognition in Cardiac Video Processing. In: Cherifi, H., Zain, J.M., El-Qawasmeh, E. (eds) Digital Information and Communication Technology and Its Applications. DICTAP 2011. Communications in Computer and Information Science, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21984-9_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-21984-9_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21983-2
Online ISBN: 978-3-642-21984-9
eBook Packages: Computer ScienceComputer Science (R0)