Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2006 / Cilt: 6 - Sayı: 1

Tissue-motion analysis of artery pulsation in cranial ultrasonogram of newborn baby

Pages
53–59
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Strong pulsation is observed in the harmonic frequency of tissue-motion that has a relation to the heartbeat frequency of a newborn baby.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Tissue-motion is an important physical parameter that can be considered in discussing the strength of artery pulsation of newborn baby for pediatrics diagnosis.
📊
Key Findings & Data:In this paper, we have used optical flow technique to determine the tissue-motion velocity quantitatively in cranial ultrasonogram of newborn baby.
💡
Conclusion & Impact:Strong pulsation is observed in the harmonic frequency of tissue-motion that has a relation to the heartbeat frequency of a newborn baby.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Tissue-motion is an important physical parameter that can be considered in discussing the strength of artery pulsation of newborn baby for pediatrics diagnosis. In this paper, we have used optical flow technique to determine the tissue-motion velocity quantitatively in cranial ultrasonogram of newborn baby. We have estimated the tissue-motion by using gradient-based optical flow method and then the time variant tissue motion velocities are analyzed by using Fourier transform. Strong pulsation is observed in the harmonic frequency of tissue-motion that has a relation to the heartbeat frequency of a newborn baby.

🔖

Cite This Article

AHMAD, M., CHOWDHURY, M. Z., ALAM, M. J. (2022). Tissue-motion analysis of artery pulsation in cranial ultrasonogram of newborn baby. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 6 - Sayı: 1, 53–59. https://ajindex.com/articles/543815

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (9)

  1. Ahmad, M., M. S. Yusuf, M. Z. Chowdhury, and M. Yamada, “Global optimization of optical flow technique on the computation of tissue-motion in neonatal cranial ultrasonogram,” Journal of Electrical & Electronic Engineering, Istanbul university, vol. 4, no. 1, pp. 1007-1016, 2004
  2. Fukazawa, M., H. Kubo, Y. Kitsunezuka, and M. Yamada, 1999, “Motion analysis of artery pulsation in neonatal cranial ultrasonogram,” SPIE, vol. 3661
  3. Fukuzawa, M., Y. Kitsunezuka and M. Yamada, “A real-time processing system for pulsation detection in neonatal cranial ultrasonogram,” Jpn. J. Appl. Physics. 37, pp. 1175-1178, 1998
  4. Horn, B. K. P., and B.G. Schunck, 1981, ''Determining Optical Flow,’’ Artificial Intelligence 17, pp. 185-203
  5. Ifeachor, E. C., and B. W. Jervis, Digital Signal Processing, Addison-Wesley Publishing Company,, 1993
  6. Kearney, J. K., W. B. Thompson, and D. L. Boley, “Optical flow estimation: An Error Analysis of Gradient-Based Methods with Local Optimization,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, pp. 229-244, March 1987
  7. Kitsunezuka, Y., and H. Nakamura, “Syonika-Rinsyo,” no. 38, pp. 297-308 [in Japanese], 1985
  8. Press, W. H., Saul A. Teukolsky, William T. Vetterling and Brian P. Flannery, “Numerical Recipes in C: The art of Scientific Computing”, Second Edition, Cambridge University press
  9. Yamada, M., M. Fukuzawa, Y. Kitsunezuka, J. Kishida, N. Nakamori, H. Kanamori, T. Sakurai and S. Kodama, “Pulsation detection from noisy ultrasound echo moving images of newborn baby head using Fourier transform,” Jpn. J. Appl. Phys., Vol. 34, p. 2854-2856, 1995.