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Bandwidth of the Ultrasound Doppler Signal with Applications in Blood/Tissue Segmentation in the Left Ventricle

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4987))

Abstract

A new estimator, Bandwidth Imaging, related to the bandwidth of the ultrasound Doppler signal is proposed as a classification function of blood and tissue signal in transthoracial echocardiography of the left ventricle. An in vivo experiment is presented, where the apparent error rate of Bandwidth Imaging is compared with the apparent error rate of Second-Harmonic Imaging on 15 healthy men. The apparent error rates are calculated from the 16 myocardial wall segments defined in [1]. A hypothesis test of Bandwidth Imaging having lower apparent error rate than Second-Harmonic Imaging is proved for a p-value of 0.94 in 3 segments in end diastole and in 1 segment in end systole. When data was averaged by a structural element of 5 radial, 3 lateral and 4 temporal samples the numbers of segments increased to 9 in end diastole and to 6 in end systole. This experiment indicates that Bandwidth Imaging can supply additional information for automatic border detection routines on endocardium.

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References

  1. 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.: Standarized myocardial segmentation and nomencclature for tomographic imaging of the heart. Circulation, 539–542 (January 2002)

    Google Scholar 

  2. Olstad, B.: Active contours with grammatical descriptions. In: 6th International conference on Image analyses and Processing, Como, Italy (September 1991)

    Google Scholar 

  3. Bosch, J.G., Savalle, L.H., van Burken, G., Reiber, J.H.: Evaluation of semiautomatic contour detection approach to sequences of short axes two-dimensional echocardiographic images. J. Am: Soc. Echocardiogr 8(6), 810–821 (1995)

    Article  Google Scholar 

  4. McEachenand II, M.C., Duncan, J.S.: Shape-based tracking of left ventricular wall motion. IEEE Transactions on Medical Imaging 16(3), 270–283 (1997)

    Article  Google Scholar 

  5. Bosch, H.G., Mitchell, S.C., Lelieveldt, B.P.F., Nijland, F., Kamp, O., Sonka, M., Reiber, J.H.C.: Active appearance-motion models for fully automated endocardial contour detection in time sequences of echocardiograms, International Congress Series, vol. 1230, pp. 941–947 (June 2001)

    Google Scholar 

  6. Dove, E.I., Phillip, K., Gotteiner, N.L., Vonesh, M.J., Ramberger, J.A., Reed, J.E., Standford, W., McPherson, D.D., Chandran, K.B.: A method for automatic edge detection and volume computation of the left ventricle from ultrafast computed tomographic images. Investigative Radiology 29(11), 945–954 (1994)

    Article  Google Scholar 

  7. Malassiotis, S., Strintzis, M.G.: Tracking the left ventricle in echocardiographic images by learning heart dynamics. IEEE Transactions on Medical Imaging 18(3), 280–290 (1999)

    Article  Google Scholar 

  8. Angelsen, B.A.: 7.4,9,3, 10.4. In: Ultrasound Imaging Wawes, Signals and Signal Processing, Emantec, Trondheim, Norway (2000)

    Google Scholar 

  9. Torp, H.: Clutter rejection filters in color flow imaging a theoretical approach. IEEE Transactions on Ultrasonics, Ferroelectriscs. and Frequency Control 44, 417–424 (1997)

    Article  Google Scholar 

  10. Spencer, K.T., Bednarz, J., Rafter, P.G., Korcarz, C., Lang, R.M.: Use of harmonic imaging without echocardiographic contrast to improve two dimensional image quality. American Journal of Cardiology 82(6), 794–799 (1998)

    Article  Google Scholar 

  11. Jensen, J.A.: 6.5 and 7.5. In: Estimation of Blood Velocities Using Ultrasound, Cambridge University Press, New York (1996)

    Google Scholar 

  12. Malm, S., Frigstad, S., Sagberg, E., Skjærpe, T.H.L.: Accurate and reproducible measurement of left ventricular volume and ejection fraction by contrast echocardiography. Journal of the American College of Cardiology 44, 1030–1035 (2004)

    Article  Google Scholar 

  13. Johnson, R.A., Wichern, D.W.: Applied Multivariate Statistical Analysis. Prentice-Hall Inc., Englewood Cliffs (2002)

    Google Scholar 

  14. Heimdal, A., Torp, H.: Ultrasound doppler measurements of low velocity blood flow limitations due to clutter signals form vibrating muscles. IEEE Transactions on Ultrasonics, Ferroelectriscs. and Frequency Control 44, 873–881 (1997)

    Article  Google Scholar 

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Xiaohong Gao Henning Müller Martin J. Loomes Richard Comley Shuqian Luo

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© 2008 Springer-Verlag Berlin Heidelberg

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Hovda, S., Rue, H., Olstad, B. (2008). Bandwidth of the Ultrasound Doppler Signal with Applications in Blood/Tissue Segmentation in the Left Ventricle. In: Gao, X., Müller, H., Loomes, M.J., Comley, R., Luo, S. (eds) Medical Imaging and Informatics. MIMI 2007. Lecture Notes in Computer Science, vol 4987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79490-5_29

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  • DOI: https://doi.org/10.1007/978-3-540-79490-5_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79489-9

  • Online ISBN: 978-3-540-79490-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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