Torso shape detection to improve lung monitoring
Torso shape detection to improve lung monitoring
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DOI：
10.1088/1361-6579/aacc1c
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发表时间：
2018-07-01
影响因子：
3.2
通讯作者：
Bayford, R.
中科院分区：
文献类型：
--
作者：
de Gelidi, S.;Seifnaraghi, N.;Bayford, R.
目的：肺部不成熟的新生儿通常需要在重症监护室持续监测和治疗其肺部通气，特别是早产儿。最近的研究表明，电阻抗断层扫描（EIT）是可行的新生儿和儿童，并可以定量识别区域肺通气和通气的变化后，呼吸条件的改变。关于躯干的患者特定形状及其在最小化重建图像中的伪影中的作用的信息可以提高从EIT获得的临床参数的准确性。目前，通常只采用理想化的模型或从CT扫描中分割出来的模型。方法：本研究提出并比较了两种方法，可以通过可穿戴设备检测患者特定的躯干形状的基础上（1）以前报告的弯曲传感器技术，和（2）一种新的方法，基于使用加速度计。主要结果：考虑到解剖不对称性和不同尺寸，产生不同体模的重建以进行比较。意义：因此，加速度计比弯曲传感器更通用，后者不能用于更大的横截面。计算研究估计的最佳数量所需的加速度计，以产生一个图像重建的CT扫描作为前向模型的使用。此外，由于患者位置对于监测肺通气至关重要，因此通过基于加速度计的方法自动检测体模的取向。
Objective: Newborns with lung immaturity often require continuous monitoring and treatment of their lung ventilation in intensive care units, especially if born preterm. Recent studies indicate that electrical impedance tomography (EIT) is feasible in newborn infants and children, and can quantitatively identify changes in regional lung aeration and ventilation following alterations to respiratory conditions. Information on the patient-specific shape of the torso and its role in minimizing the artefacts in the reconstructed images can improve the accuracy of the clinical parameters obtained from EIT. Currently, only idealized models or those segmented from CT scans are usually adopted. Approach: This study presents and compares two methodologies that can detect the patient-specific torso shape by means of wearable devices based on (1) previously reported bend sensor technology, and (2) a novel approach based on the use of accelerometers. Main results: The reconstruction of different phantoms, taking into account anatomical asymmetries and different sizes, are produced for comparison. Significance: As a result, the accelerometers are more versatile than bend sensors, which cannot be used on bigger cross-sections. The computational study estimates the optimal number of accelerometers required in order to generate an image reconstruction comparable to the use of a CT scan as the forward model. Furthermore, since the patient position is crucial to monitoring lung ventilation, the orientation of the phantoms is automatically detected by the accelerometer-based method.