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Improving pulmonary lobe segmentation on expiratory CTs by using aligned inspiratory CTs

机译:使用对齐的吸气CTS改善呼气CTS上的肺瓣分割

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Quantitative computed tomography (QCT) indices calculated on paired inspiratory/expiratory multidetector computer tomography (MDC-T) can deliver valuable information about functional changes in airway diseases like cystic fibrosis (CF). Air trapping is an important early sign of CF which can only be quantified on expiratory CTs. An accurate lobe segmentation is needed for a regional analysis. Direct lobe segmentation (DLS) is more challenging to perform on expiratory CT images than on inspiratory images. We suggest a registration-based lobe segmentation (RLS) procedure for expiratory CTs if paired inspiratory/expiratory CTs are available. Firstly, our existing fully automated lobe segmentation algorithm was applied to the inspiratory images. Secondly, inspiratory and expiratory images were aligned by a deformable image registration algorithm. Thirdly, the calculated transformation between inspiratory and expiratory images was applied on the lobe segmentation determined on the inspiratory images. Finally, the transferred lobe segmentation was slightly adjusted to the expiratory CT. Validation of the procedure was performed on 128 paired inspiratory/expiratory CTs. The scans were acquired from 16 children with mild CF at 4 time points reconstructed with two different kernels. 6 lobes were segmented, the lingula was treated as separate lobe. We validated the registration-based lobe masks against manually corrected lobe masks. The mean spatial overlap (Dice Index) for DLS was 0.97±0.02 on the inspiratory CTs, and 0.82 ± 0.09 on expiratory CTs, determined in a previous study. In the present study the overlap was significantly improved for the expiratory CTs by the new RLS approach to 0.91 ± 0.05 (p < 2.2e - 16). This significant improvement brings the quality of lung lobe segmentation on expiratory CTs closer to the already very good lobe segmentation results on inspiratory CTs by DLS, thus reducing the need for manual post-processing.
机译:数量计算的断层扫描(QCT)根据成对的吸气/到期多选传染料计算机断层扫描(MDC-T)计算的指标可以提供有关循环纤维化(CF)等循环纤维化(CF)的功能变化的有价值的信息。空气诱捕是CF的重要早期标志,只能在呼气的CTS上量化。区域分析需要精确的叶片分割。直接叶片分割(DLS)更具挑战性,而不是在呼气的CT图像上执行而不是吸入的图像。如果有配对的吸气/到期CTS,我们建议将基于注册的Lobe分段(RLS)程序进行到期CTS。首先,我们现有的全自动叶片分割算法应用于吸气图像。其次,通过可变形的图像配准算法对准吸气和呼气图像。第三,对吸气图像确定的瓣分段施加吸气和呼气图像之间的计算变换。最后,将转移的叶片分段略微调整到呼气的CT。对128个配对的吸气/到期CTS进行程序验证。在重建的4个时间点与两个不同的内核重建4个时间点,从16名儿童获得扫描。将6个裂片分割,凌为脉状物作为单独的叶片。我们验证了基于注册的叶片掩模针对手动矫正的叶片掩码。在吸气CTS上的DLS的平均空间重叠(骰子指数)为0.97±0.02,呼气CTS的0.82±0.09,在先前的研究中确定。在本研究中,通过新的RLS方法对0.91±0.05(P <2.2E - 16)的呼气CTS重叠显着改善。这种显着的改善将肺瓣分割质量与DLS的吸气CTS上的呼气CTS更接近,从而减少了对手动后处理的需求。

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