College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, People's Republic of China.
Phys Med Biol. 2011 Apr 7;56(7):1967-83. doi: 10.1088/0031-9155/56/7/004. Epub 2011 Mar 2.
Magnetoacoustic tomography with magnetic induction (MAT-MI) was recently introduced as a noninvasive electrical conductivity imaging approach with high spatial resolution close to ultrasound imaging. In this study, we test the feasibility of the MAT-MI method for breast tumor imaging using numerical modeling and computer simulation. Using the finite element method, we have built three-dimensional numerical breast models with varieties of embedded tumors for this simulation study. In order to obtain an accurate and stable forward solution that does not have numerical errors caused by singular MAT-MI acoustic sources at conductivity boundaries, we first derive an integral forward method for calculating MAT-MI acoustic sources over the entire imaging volume. An inverse algorithm for reconstructing the MAT-MI acoustic source is also derived with spherical measurement aperture, which simulates a practical setup for breast imaging. With the numerical breast models, we have conducted computer simulations under different imaging parameter setups and all the results suggest that breast tumors that have large conductivity in contrast to the surrounding tissue as reported in the literature may be readily detected in the reconstructed MAT-MI images. In addition, our simulations also suggest that the sensitivity of imaging breast tumors using the presented MAT-MI setup depends more on the tumor location and the conductivity contrast between the tumor and its surrounding tissue than on the tumor size.
磁感应磁共振成像(MAT-MI)最近被提出作为一种具有接近超声成像的高空间分辨率的非侵入性电导率成像方法。在这项研究中,我们使用数值建模和计算机模拟来测试 MAT-MI 方法用于乳腺肿瘤成像的可行性。
使用有限元方法,我们为这项模拟研究构建了具有各种嵌入肿瘤的三维数值乳腺模型。为了获得准确且稳定的正向解,该解不会由于在电导率边界处的奇异 MAT-MI 声源而产生数值误差,我们首先推导出了一种用于计算整个成像体积中的 MAT-MI 声源的积分正向方法。
还推导出了具有球形测量孔径的用于重建 MAT-MI 声源的逆算法,该方法模拟了用于乳腺成像的实际设置。
使用数值乳腺模型,我们在不同的成像参数设置下进行了计算机模拟,所有结果均表明,文献中报道的与周围组织相比具有较大电导率的乳腺肿瘤可能很容易在重建的 MAT-MI 图像中检测到。
此外,我们的模拟还表明,使用所提出的 MAT-MI 设置进行乳腺肿瘤成像的灵敏度更多地取决于肿瘤的位置以及肿瘤与其周围组织之间的电导率对比度,而不是肿瘤的大小。