Neonatal brain pulsation strength analysis using wavelet transform

Ultrasonogram plays an important role for medical diagnosis because its convenience, easy to use, low cost in compared with other medical modalities. Ultrasound image analysis is mainly used in real-time but sometimes offline data is used for future diagnosis. In this paper, we analyze the artery pulsation caused by blood flow in neonatal brain using discrete wavelet transform. We quantitatively analyze and visualize the strength of artery pulsation from ultrasound image sequence in brightness mode for future diagnosis. From the pulsation amplitude visualization, the variation of the pulsation strength in different regions of the ultrasound image can be achieved. In our method, we directly use the pixel information of normal and asphyxiated neonates.