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3D reconstructions of the cerebral ventricles and volume quantification in children with brain malformations.

机译:脑畸形患儿脑室的3D重建和体积定量。

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RATIONALE AND OBJECTIVES: The aim of this study was to assess the ability of a semiautomated process to produce three-dimensional reconstructions of the ventricles and calculate ventricular volumes from magnetic resonance (MR) imaging data in children with structural brain abnormalities. MATERIALS AND METHODS: Fourteen children referred for MR imaging of the brain for neurologic symptoms were selected. Seven participants had structural brain abnormalities on MR imaging; seven further participants were age-matched controls with normal brain morphology. MR imaging included T1-weighted volumetric images in all cases. Semiautomated postprocessing techniques were performed on the MR imaging data to generate three-dimensional reconstructions of the ventricles. These were analyzed for morphologic changes, and volumes were calculated. Inter- and intrarater agreement of ventricular volumes were calculated. RESULTS: This technique produced detailed three-dimensional reconstructions of the ventricles, even in children with grossly abnormal ventricular morphology. All MR imaging data were successfully postprocessed in <5 minutes. Inter- and intrarater reliability was excellent, with correlation coefficients of 0.99 and 0.92, respectively. CONCLUSION: This methodology can create detailed three-dimensional visualizations and volumetric measurements of morphologically abnormal ventricles. This technique could help physicians and parents comprehend abnormal ventricular anatomy better and may have future clinical uses in monitoring disease progression or neurosurgical planning.
机译:理由和目的:这项研究的目的是评估半自动过程产生脑室三维重建并从磁共振(MR)影像学数据计算脑结构异常儿童的心室容积的能力。材料与方法:选择了十四名因神经系统症状接受MR脑成像的儿童。 7名参与者的MR成像具有结构性脑异常;另外七名参与者是年龄相称且大脑形态正常的对照。在所有情况下,MR成像均包括T1加权体积图像。在MR成像数据上执行半自动后处理技术,以生成心室的三维重建。分析它们的形态变化,并计算体积。计算心室容积的评估者间和评估者内一致性。结果:即使在患有严重异常的心室形态的儿童中,该技术也能对心室进行详细的三维重建。所有MR成像数据均在不到5分钟的时间内成功进行了后处理。评估者之间和评估者之间的可靠性极好,相关系数分别为0.99和0.92。结论:该方法可以创建形态学异常心室的详细三维可视化和体积测量。这项技术可以帮助医生和父母更好地理解心室的异常解剖结构,并可能在监测疾病进展或神经外科计划方面有未来的临床用途。

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