NDLI: 3D ultrasound in assessment of growth and development of frontal lobes in children with perinatal brain injury

Content Provider	IEEE Xplore Digital Library
Author	Yunfeng Liu Congle Zhou Hongmei Wang Zezhong Tang Haiyan Ding
Copyright Year	2009
Description	Author affiliation: Department of Pediatrics, Peking University First Hospital, Beijing 100034, China (Congle Zhou; Hongmei Wang; Zezhong Tang) \|\| Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China and the Department of Pediatrics, Peking University First Hospital, Beijing 100034, China (Yunfeng Liu; Haiyan Ding)
Abstract	To investigate the functions of cranial 3D ultrasound in the assessment of growth and development of the volume of frontal lobes in children with perinatal brain injury, 226 neonates of different gestational ages and 86 full term with perinatal brain injury were selected as subjects. The volume of frontal lobe of neonate increased with gestational age within 7 days after birth (r=0.676, P<0.05). The volume of frontal lobe in the 33 children with serious brain injury was lower than that in the control group at 1 month and the difference was significant at 3 and 6 months (P<0.01). There was a correlation between the long-term nervous system dysplasia and the slow increase of frontal lobe volume. The volume of frontal lobe increases with gestational age. The brain injury during the perinatal period affects the development of frontal lobe and is related with neural dysplasia. 3D ultrasound is useful for evaluating the normal and abnormal brain development.
Starting Page	483
Ending Page	486
File Size	655500
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332549
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ultrasonic imaging Brain injuries Pediatrics Skull Head Atrophy Magnetic resonance imaging Lesions Volume measurement Ultrasonic variables measurement
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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