Semi-Automatic GUI Platform to Characterize Brain Development in Preterm Children Using Ultrasound Images

Semi-Automatic GUI Platform to Characterize Brain Development in Preterm Children Using Ultrasound Images

The third trimester of pregnancy is the most critical period for human brain development, during which significant changes occur in the morphology of the brain. The development of sulci and gyri allows for a considerable increase in the brain surface. In preterm newborns, these changes occur in an e...

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Bibliographic Details
Published in:Journal of imaging Vol. 9; no. 7; p. 145
Main Authors: Rabanaque, David, Regalado, Maria, Benítez, Raul, Rabanaque, Sonia, Agut, Thais, Carreras, Nuria, Mata, Christian
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 01-07-2023
MDPI
Subjects:
Analysis
Artificial intelligence
Brain
brain segmentation
Care and treatment
cerebral ultrasound
docker
Graphical user interface
GUI semi-automatic platform
Health aspects
Image segmentation
Infants (Newborn)
Maturation
Medical imaging
Medical imaging equipment
Methods
Neuroimaging
Newborn babies
Premature babies
Premature birth
preterm
sulci
Spain
GUI semi-automatic platform
preterm
cerebral ultrasound
sulci
brain segmentation
docker
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Summary:The third trimester of pregnancy is the most critical period for human brain development, during which significant changes occur in the morphology of the brain. The development of sulci and gyri allows for a considerable increase in the brain surface. In preterm newborns, these changes occur in an extrauterine environment that may cause a disruption of the normal brain maturation process. We hypothesize that a normalized atlas of brain maturation with cerebral ultrasound images from birth to term equivalent age will help clinicians assess these changes. This work proposes a semi-automatic Graphical User Interface (GUI) platform for segmenting the main cerebral sulci in the clinical setting from ultrasound images. This platform has been obtained from images of a cerebral ultrasound neonatal database images provided by two clinical researchers from the Hospital Sant Joan de Déu in Barcelona, Spain. The primary objective is to provide a user-friendly design platform for clinicians for running and visualizing an atlas of images validated by medical experts. This GUI offers different segmentation approaches and pre-processing tools and is user-friendly and designed for running, visualizing images, and segmenting the principal sulci. The presented results are discussed in detail in this paper, providing an exhaustive analysis of the proposed approach's effectiveness.
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ISSN:2313-433X
2313-433X
DOI:10.3390/jimaging9070145