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Evaluation of Traumatic Brain Injury Patients Using a Shape-Constrained Deformable Model

机译:使用形状受约束的可变形模型评估颅脑外伤患者

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Traumatic brain injury (TBI) is often associated with life long neurobehavioral effects in survivors. Imaging has historically supported the detection and acute management of life-threatening complications. However, in order to predict these long term consequences in the increasing number of individuals surviving TBI, there is an emerging need for structural neuroimaging biomarkers that would facilitate detection of milder injuries, allow recovery trajectory monitoring, and identify those at risk for poor functional outcome and disability. This paper presents a methodology capable of identifying such structural biomarkers in MR images of the brain. Results are presented demonstrating the quantitative accuracy of the approach with respect to (i) highly accurate annotations from expert tracers, (ii) an alternative segmentation method in FSL, and (iii) the ability to reproduce statistically significant differences in the volumes of specific structures between well-defined clinical cohorts (TBI vs age-matched healthy controls) in a retrospective analysis study.
机译:颅脑外伤(TBI)通常与幸存者终生的神经行为有关。影像学历来支持威胁生命的并发症的发现和急性处理。然而,为了预测在TBI幸存的个体数量增加中的这些长期后果,对结构神经影像生物标志物的新兴需求正在出现,这些标志物将有助于检测轻度损伤,允许恢复轨迹监测并确定有不良功能结果危险的人和残疾。本文提出了一种能够在大脑的MR图像中识别此类结构生物标志物的方法。呈现的结果证明了该方法相对于(i)来自专家示踪剂的高度精确注解,(ii)FSL中的另一种分割方法以及(iii)能够再现特定结构量的统计学显着性差异的定量准确性回顾性分析研究中明确定义的临床人群(TBI与年龄匹配的健康对照)之间的差异。

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