Purpose Analysis of the abnormal motion of thoraco-abdominal organs in respiratory disorders such as the Thoracic Insufficiency Syndrome (TIS) and scoliosis such as adolescent idiopathic scoliosis (AIS) or early onset scoliosis (EOS) can lead to better surgical plans. We can use healthy subjects to find out the normal architecture and motion of a rib cage and associated organs and attempt to modify the patient’s deformed anatomy to match to it. Dynamic magnetic resonance imaging (dMRI) is a practical and preferred imaging modality for capturing dynamic images of healthy pediatric subjects. In this paper, we propose an auto-segmentation set-up for the lungs, kidneys, liver, spleen, and thoraco-abdominal skin in these dMRI images which have their own challenges such as poor contrast, image non-standardness, and similarity in texture amongst gas, bone, and connective tissue at several inter-object interfaces.

中文翻译：

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小儿动态 MRI 中胸腹器官的自动分割

目的分析呼吸系统疾病（例如胸廓功能不全综合征（TIS））和脊柱侧凸（例如青少年特发性脊柱侧凸（AIS）或早发性脊柱侧凸（EOS））中胸腹器官的异常运动，可以制定更好的手术计划。我们可以使用健康受试者来找出胸腔和相关器官的正常结构和运动，并尝试修改患者的变形解剖结构以与之匹配。动态磁共振成像 (dMRI) 是一种实用且首选的成像方式，用于捕获健康儿科受试者的动态图像。在本文中，我们提出了一种针对这些 dMRI 图像中的肺、肾脏、肝脏、脾脏和胸腹部皮肤的自动分割设置，这些图像有其自身的挑战，例如对比度差、图像不标准和相似性多个对象间界面处的气体、骨骼和结缔组织之间的纹理。