Murphy Ethan K, Mahara Aditya, Halter Ryan J
IEEE Trans Med Imaging. 2017 Apr;36(4):892-903. doi: 10.1109/TMI.2016.2640944. Epub 2016 Dec 15.
A rotational Electrical Impedance Tomography (rEIT) methodology is described and shown to produce spatially accurate absolute reconstructions with improved image contrast and an improved ability to distinguish closely spaced inclusions compared to traditional EIT on data recorded from cylindrical and breast-shaped tanks. Rotations of the tank without altering the interior conductivity distribution are used to produce the rEIT data. Quantitatively, rEIT was able to distinguish two inclusions that were 1.5 cm closer together than traditional EIT could achieve for inclusions placed 2 to 3 cm from the center for the cylindrical tank, and rEIT was able to distinguish two tumor-like inclusions where traditional EIT could not reliably do so. Mathematical analysis showed that rEIT improves the number of stable singular vectors by up to 4.2 and 4.7 times than that of traditional EIT for the cylindrical and breast-shaped tanks, respectively, which is an indication of improved resolution. Direct investigations into measurements revealed minimum rotation angles that should yield data uncorrupted by noise. Two inverse approaches (one that inverts then fuses the data (I/DF) and one that fuses the data then inverts (DF/I)) and two mesh modeling approaches were considered. It was found that DF/I produces far better results compared to I/DF and a rotated-mesh approach produces further improvements. The ability to obtain improved absolute reconstructions using rEIT on a practical clinical scenario (breast-shaped tank experiment) is an important step towards using rEIT to improve previous EIT results in medical applications.
本文描述了一种旋转式电阻抗断层成像(rEIT)方法,该方法能够在圆柱形和乳房形状的水箱记录的数据上,与传统的电阻抗断层成像相比,生成空间精度更高的绝对重建图像,具有更好的图像对比度,以及更强的区分紧密间隔内含物的能力。通过在不改变内部电导率分布的情况下旋转水箱来生成rEIT数据。在定量方面,对于放置在圆柱形水箱中心2至3厘米处的内含物,rEIT能够区分比传统EIT更靠近1.5厘米的两个内含物,并且rEIT能够区分传统EIT无法可靠区分的两个肿瘤样内含物。数学分析表明,对于圆柱形和乳房形状的水箱,rEIT分别比传统EIT将稳定奇异向量的数量提高了4.2倍和4.7倍,这表明分辨率有所提高。对测量的直接研究揭示了应产生不受噪声影响的数据的最小旋转角度。考虑了两种反演方法(一种是先反演然后融合数据(I/DF),另一种是先融合数据然后反演(DF/I))和两种网格建模方法。结果发现,与I/DF相比,DF/I产生的结果要好得多,并且旋转网格方法会带来进一步的改进。在实际临床场景(乳房形状水箱实验)中使用rEIT获得改进的绝对重建的能力是朝着使用rEIT改善医学应用中先前的EIT结果迈出的重要一步。