Strong pulsation is observed in the harmonic frequency of tissue-motion that has a relation to the heartbeat frequency of a newborn baby.
📌 3 Maddede Bu Makale
🎯
Amaç & Hipotez:Tissue-motion is an important physical parameter that can be considered in discussing the strength of artery pulsation of newborn baby for pediatrics diagnosis.
📊
Temel Bulgular & Veri:In this paper, we have used optical flow technique to determine the tissue-motion velocity quantitatively in cranial ultrasonogram of newborn baby.
💡
Sonuç & Katkı:Strong pulsation is observed in the harmonic frequency of tissue-motion that has a relation to the heartbeat frequency of a newborn baby.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri
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.
🔖
Bu Makaleye Atıf Yap
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
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
Fukazawa, M., H. Kubo, Y. Kitsunezuka, and M. Yamada, 1999, “Motion analysis of artery pulsation in neonatal cranial ultrasonogram,” SPIE, vol. 3661
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
Horn, B. K. P., and B.G. Schunck, 1981, ''Determining Optical Flow,’’ Artificial Intelligence 17, pp. 185-203
Ifeachor, E. C., and B. W. Jervis, Digital Signal Processing, Addison-Wesley Publishing Company,, 1993
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
Kitsunezuka, Y., and H. Nakamura, “Syonika-Rinsyo,” no. 38, pp. 297-308 [in Japanese], 1985
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
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.