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The tissue motion in neonatal cranium is an important physical parameter that is considered in discussing the pulsation strength of newborn baby for pediatric diagnosis. The artery pulsation has a strong correlation with the blood flow in the newborn baby head and tissue-motion has a relationship with artery pulsation. Optical flow technique finds an excellent application in determining the tissue motion velocity quantitatively in cranial ultrasonogram of newborn baby.Cranial ultrasonogram of newborn babies for different coronal and sagittal sections are studied and the tissue motion velocity…mehr

Produktbeschreibung
The tissue motion in neonatal cranium is an important physical parameter that is considered in discussing the pulsation strength of newborn baby for pediatric diagnosis. The artery pulsation has a strong correlation with the blood flow in the newborn baby head and tissue-motion has a relationship with artery pulsation. Optical flow technique finds an excellent application in determining the tissue motion velocity quantitatively in cranial ultrasonogram of newborn baby.Cranial ultrasonogram of newborn babies for different coronal and sagittal sections are studied and the tissue motion velocity of neonatal cranium is analyzed the using optical flow techniques. In order to calculate tissue motion velocity, gradient-based approaches of optical flow techniques with different optical flow optimizations are used.Further, the time variant tissue-motions are analyzed by using discrete Fourier transform of optical flow velocity.Pulsation amplitudes, caused by artery pulsation due to blood flow are also analyzed and visualized from a video stream of ultrasound image sequence by using 1D fast Fourier transform.
Autorenporträt
Muhammad Muinul Islam is currently a PhD candidate in Biomedical Imaging Research Center, University of Fukui,Japan.He is working as a faculty member of Biomedical Engineering Department, Khulna University of Engineering & Technolgy (KUET), Bangladesh . He received his MSc and BSc degree in Electrical and Electronic Engineering from KUET.