Fan Di, Gajawelli Niharika, Paulli Athelia, Perry Eryn, Tanedo Jeff, Deoni Sean, Wang Yalin, Linguraru Marius George, Lepore Natasha
CIBORG Lab, Department of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Sheikh Zayed Institute for Pediatric Surgical Innovation. Children's National Hospital, Washington, D.C, USA.
Proc SPIE Int Soc Opt Eng. 2022 Nov;12567. doi: 10.1117/12.2670281. Epub 2023 Mar 6.
In early life, the neurocranium undergoes rapid changes to accommodate the expanding brain. Neurocranial maturation can be disrupted by developmental abnormalities and environmental factors such as sleep position. To establish a baseline for the early detection of anomalies, it is important to understand how this structure typically grows in healthy children. Here, we designed a deep neural network pipeline NEC-NET, including segmentation and classification, to analyze the normative development of the neurocranium in T1 MR images from healthy children aged 12 to 60 months old. The pipeline optimizes the segmentation of the neurocranium and shows the preliminary results of age-based regional differences among infants.
在生命早期，脑颅会经历快速变化以适应不断发育的大脑。发育异常和睡眠姿势等环境因素会干扰脑颅成熟。为了建立早期检测异常的基线，了解这种结构在健康儿童中的典型生长情况很重要。在这里，我们设计了一个包括分割和分类的深度神经网络管道NEC-NET，以分析12至60个月大健康儿童的T1磁共振图像中脑颅的正常发育。该管道优化了脑颅的分割，并展示了婴儿基于年龄的区域差异的初步结果。
