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Frequency-difference MIT imaging of cerebral haemorrhage with a hemispherical coil array: numerical modelling

机译:半球线圈阵列对脑出血的频差MIT成像:数值模型

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摘要

The feasibility of detecting a cerebral haemorrhage with a hemispherical MIT coil array consisting of 56 exciter/sensor coils of 10 mm radius and operating at 1 and 10 MHz was investigated. A finite difference method combined with an anatomically realistic head model comprising 12 tissue types was used to simulate the strokes. Frequency-difference images were reconstructed from the modelled data with different levels of the added phase noise and two types of a priori boundary errors: a displacement of the head and a size scaling error. The results revealed that a noise level of 3 m degrees (standard deviation) was adequate for obtaining good visualization of a peripheral stroke (volume approximate to 49 ml). The simulations further showed that the displacement error had to be within 3-4 mm and the scaling error within 3-4% so as not to cause unacceptably large artefacts on the images.
机译:研究了用半球形MIT线圈阵列检测脑出血的可行性,该线圈阵列由56个半径为10 mm的激励器/传感器线圈组成,工作频率为1和10 MHz。有限差分方法与包含12种组织类型的解剖学现实头部模型相结合,用于模拟笔触。从具有不同级别的增加的相位噪声和两种类型的先验边界误差的建模数据中重建频差图像,这两种类型的先验边界误差是:头部的位移和尺寸缩放误差。结果表明,噪声水平为3 m度(标准偏差)足以获得周围冲程的良好可视化效果(体积约49 ml)。模拟进一步表明,位移误差必须在3-4 mm之内,缩放误差必须在3-4%之内,以免在图像上造成不可接受的大伪像。

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