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使用八电极“半阵列”电阻抗断层成像重建方法对异常体积进行成像和量化。

Imaging and quantification of anomaly volume using an eight-electrode 'hemiarray' EIT reconstruction method.

作者信息

Sadleir R J, Zhang S U, Tucker A S, Oh Sungho

机构信息

J Crayton Pruitt Department of Biomedical Engineering, University of Florida, Box 116131, Gainesville, FL, USA.

出版信息

Physiol Meas. 2008 Aug;29(8):913-27. doi: 10.1088/0967-3334/29/8/005. Epub 2008 Jul 4.

Abstract

Electrical impedance tomography (EIT) is particularly well-suited to applications where its portability, rapid acquisition speed and sensitivity give it a practical advantage over other monitoring or imaging systems. An EIT system's patient interface can potentially be adapted to match the target environment, and thereby increase its utility. It may thus be appropriate to use different electrode positions from those conventionally used in EIT in these cases. One application that may require this is the use of EIT on emergency medicine patients; in particular those who have suffered blunt abdominal trauma. In patients who have suffered major trauma, it is desirable to minimize the risk of spinal cord injury by avoiding lifting them. To adapt EIT to this requirement, we devised and evaluated a new electrode topology (the 'hemiarray') which comprises a set of eight electrodes placed only on the subject's anterior surface. Images were obtained using a two-dimensional sensitivity matrix and weighted singular value decomposition reconstruction. The hemiarray method's ability to quantify bleeding was evaluated by comparing its performance with conventional 2D reconstruction methods using data gathered from a saline phantom. We found that without applying corrections to reconstructed images it was possible to estimate blood volume in a two-dimensional hemiarray case with an uncertainty of around 27 ml. In an approximately 3D hemiarray case, volume prediction was possible with a maximum uncertainty of around 38 ml in the centre of the electrode plane. After application of a QI normalizing filter, average uncertainties in a two-dimensional hemiarray case were reduced to about 15 ml. Uncertainties in the approximate 3D case were reduced to about 30 ml.

摘要

电阻抗断层成像(EIT)特别适用于某些应用场景,在这些场景中,其便携性、快速采集速度和灵敏度使其相对于其他监测或成像系统具有实际优势。EIT系统的患者接口有可能进行调整以匹配目标环境,从而提高其效用。因此,在这些情况下,使用与EIT传统使用的电极位置不同的电极位置可能是合适的。一个可能需要这样做的应用是对急诊医学患者使用EIT;特别是那些遭受钝性腹部创伤的患者。在遭受重大创伤的患者中,希望通过避免抬起他们来将脊髓损伤的风险降至最低。为了使EIT适应这一要求,我们设计并评估了一种新的电极拓扑结构(“半阵列”),它由仅放置在受试者前表面的一组八个电极组成。使用二维灵敏度矩阵和加权奇异值分解重建来获取图像。通过将其性能与使用从盐水模型收集的数据的传统二维重建方法进行比较,评估了半阵列方法量化出血的能力。我们发现,在不对重建图像进行校正的情况下,在二维半阵列情况下可以估计血容量,不确定性约为27毫升。在近似三维半阵列情况下,在电极平面中心进行体积预测时,最大不确定性约为38毫升。应用QI归一化滤波器后,二维半阵列情况下的平均不确定性降低到约15毫升。近似三维情况下不确定性降低到约30毫升。

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