A 3-D Level Set Method for Microwave Breast Imaging.

A 3-D Level Set Method for Microwave Breast Imaging.
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DOI:
10.1109/tbme.2015.2435735
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发表时间:
2015-10
期刊:
IEEE transactions on bio-medical engineering
影响因子:
--
通讯作者:
Van Veen BD
Van Veen BD
中科院分区:
其他
文献类型:
--
作者:
Colgan TJ;Hagness SC;Van Veen BD

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传统的反散射算法用于微波乳房成像的结果是中等分辨率的图像,组织之间的边界模糊。最近的二维数值微波成像研究表明,使用水平集方法可以保留介电边界,从而更准确,更高分辨率地重建介电性质分布。先前提出的水平集算法在计算上很昂贵,因此在3D中不切实际。本文提出了一种基于水平集的三维微波成像算法。我们使用雅可比矩阵而不是伴随方法来计算Frechet导数,从而降低了水平集方法的计算成本。我们证明了可行性的三维成像使用模拟阵列测量从三维数字乳房幻影。我们通过比较全三维重建和传统微波成像技术来评估性能。我们还定量评估了我们的算法在评估乳腺密度方面的有效性。我们的三维数字乳房幻象重建改进了传统的微波成像技术。我们的水平集算法的密度估计比传统的微波成像更准确,并且精度高于乳房x线摄影密度估计。我们的水平集方法为全三维成像提供了可行的计算复杂度,并且比传统的微波成像方法更准确地重建了乳房的非均匀介电特性分布。使用水平集方法的三维微波乳房成像是一种有前途的低成本,非电离的替代当前乳房成像技术。
Conventional inverse-scattering algorithms for microwave breast imaging result in moderate resolution images with blurred boundaries between tissues. Recent 2D numerical microwave imaging studies demonstrate that the use of a level set method preserves dielectric boundaries, resulting in a more accurate, higher resolution reconstruction of the dielectric properties distribution. Previously proposed level set algorithms are computationally expensive and thus impractical in 3D. In this paper we present a computationally tractable 3D microwave imaging algorithm based on level sets. We reduce the computational cost of the level set method using a Jacobian matrix, rather than an adjoint method, to calculate Frechet derivatives. We demonstrate the feasibility of 3D imaging using simulated array measurements from 3D numerical breast phantoms. We evaluate performance by comparing full 3D reconstructions to those from a conventional microwave imaging technique. We also quantitatively assess the efficacy of our algorithm in evaluating breast density. Our reconstructions of 3D numerical breast phantoms improve upon those of a conventional microwave imaging technique. The density estimates from our level set algorithm are more accurate than those of conventional microwave imaging, and the accuracy is greater than that reported for mammographic density estimation. Our level set method leads to a feasible level of computational complexity for full 3D imaging, and reconstructs the heterogeneous dielectric properties distribution of the breast more accurately than conventional microwave imaging methods. 3D microwave breast imaging using a level set method is a promising low-cost, non-ionizing alternative to current breast imaging techniques.