دورية أكاديمية
Semi-Automatic GUI Platform to Characterize Brain Development in Preterm Children Using Ultrasound Images
| العنوان: | Semi-Automatic GUI Platform to Characterize Brain Development in Preterm Children Using Ultrasound Images |
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| المؤلفون: | David Rabanaque, Maria Regalado, Raul Benítez, Sonia Rabanaque, Thais Agut, Nuria Carreras, Christian Mata |
| المصدر: | Journal of Imaging, Vol 9, Iss 7, p 145 (2023) |
| بيانات النشر: | MDPI AG, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | GUI semi-automatic platform, brain segmentation, cerebral ultrasound, preterm, sulci, docker, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2313-433X |
| Relation: | https://www.mdpi.com/2313-433X/9/7/145; https://doaj.org/toc/2313-433X |
| DOI: | 10.3390/jimaging9070145 |
| URL الوصول: | https://doaj.org/article/d483a75ef7a0453984920364cf74698a |
| رقم الأكسشن: | edsdoj.483a75ef7a0453984920364cf74698a |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 2313433X |
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| DOI: | 10.3390/jimaging9070145 |