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使用超声图像表征早产儿脑发育的半自动图形用户界面平台。

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

作者信息

Rabanaque David, Regalado Maria, Benítez Raul, Rabanaque Sonia, Agut Thais, Carreras Nuria, Mata Christian

机构信息

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

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

出版信息

J Imaging. 2023 Jul 18;9(7):145. doi: 10.3390/jimaging9070145.

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.

摘要

妊娠晚期是人类大脑发育的最关键时期,在此期间大脑形态会发生显著变化。脑沟和脑回的发育使大脑表面积大幅增加。对于早产新生儿,这些变化发生在宫外环境中,这可能会扰乱正常的大脑成熟过程。我们假设,一个从出生到足月等效年龄的、基于脑超声图像的大脑成熟标准化图谱将有助于临床医生评估这些变化。这项工作提出了一个半自动图形用户界面(GUI)平台,用于在临床环境中从超声图像分割主要脑沟。该平台的数据来自西班牙巴塞罗那圣琼·德乌医院的两名临床研究人员提供的脑超声新生儿数据库图像。主要目标是为临床医生提供一个用户友好的设计平台,用于运行和可视化经医学专家验证的图像图谱。这个GUI提供了不同的分割方法和预处理工具,用户友好,旨在运行、可视化图像以及分割主要脑沟。本文详细讨论了所呈现的结果,对所提方法的有效性进行了详尽分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a5/10381479/a01e8c82d3db/jimaging-09-00145-g001.jpg

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