Impact of model shape mismatch on reconstruction quality in electrical impedance tomography.
Impact of model shape mismatch on reconstruction quality in electrical impedance tomography.
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DOI：
10.1109/tmi.2012.2200904
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发表时间：
2012-09
影响因子：
10.6
通讯作者：
Adler A
中科院分区：
文献类型：
--
作者：
Grychtol B;Lionheart WR;Bodenstein M;Wolf GK;Adler A
电阻抗断层扫描（EIT）是一种低成本、无创、无辐射的监测肺部通气分布的医学成像方式。尽管这些信息对于预防机械通气患者呼吸机引起的肺损伤是非常宝贵的，但EIT的临床应用受到难以解释所得图像的阻碍。这种困难的一个来源是经常使用与解剖结构不对应的简单形状来重建EIT图像。真实的身体形状与用于重建的身体形状之间的不匹配已知会引入错误，迄今为止尚未得到适当的表征。因此，在目前的研究中，我们寻求1)表征和量化由一些流行的EIT重建算法的重建形状不匹配引起的误差，2)对每种算法的可容忍的不匹配量提出建议。利用真实数据和模拟数据，分析了不同形状不匹配程度下四种EIT重构算法的性能。结果表明，虽然所有算法都可以容忍轻微的形状不匹配，但使用圆形会严重降低其性能。
Electrical impedance tomography (EIT) is a low-cost, noninvasive and radiation free medical imaging modality for monitoring ventilation distribution in the lung. Although such information could be invaluable in preventing ventilator-induced lung injury in mechanically ventilated patients, clinical application of EIT is hindered by difficulties in interpreting the resulting images. One source of this difficulty is the frequent use of simple shapes which do not correspond to the anatomy to reconstruct EIT images. The mismatch between the true body shape and the one used for reconstruction is known to introduce errors, which to date have not been properly characterized. In the present study we, therefore, seek to 1) characterize and quantify the errors resulting from a reconstruction shape mismatch for a number of popular EIT reconstruction algorithms and 2) develop recommendations on the tolerated amount of mismatch for each algorithm. Using real and simulated data, we analyze the performance of four EIT reconstruction algorithms under different degrees of shape mismatch. Results suggest that while slight shape mismatch is well tolerated by all algorithms, using a circular shape severely degrades their performance.