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

Author:

Rabanaque David1ORCID,Regalado Maria1ORCID,Benítez Raul123ORCID,Rabanaque Sonia1ORCID,Agut Thais456ORCID,Carreras Nuria45ORCID,Mata Christian1234ORCID

Affiliation:

1. Barcelona East School of Engineering, Universitat Politècnica de Catalunya, 08019 Barcelona, Spain

2. Research Centre for Biomedical Engineering (CREB), Barcelona East School of Engineering, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain

3. Pediatric Computational Imaging Research Group, Hospital Sant Joan de Déu Barcelona, 08950 Esplugues de Llobregat, Spain

4. Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu Barcelona, 08950 Esplugues de Llobregat, Spain

5. Neonatal Department, Hospital Sant Joan de Déu Barcelona, 08950 Esplugues de Llobregat, Spain

6. Fundación NeNe, 28010 Madrid, Spain

Abstract

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.

Funder

Spanish Ministry of Economy and Competitiveness

Thais Agut and Nuria Carreras

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging

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