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A computational study of reconstruction algorithms for ultra-wideband electromagnetic pulse imaging in tissue.

机译：对组织中超宽带电磁脉冲成像重建算法的计算研究。

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摘要

Microwaves can be transmitted through, absorbed by, and reflected at biological tissue boundaries in varying degrees. These factors enable microwaves to be used for diagnosis in medicine, especially for the imaging of the biological structures depending on the tissue properties and frequency. Breast tissue shows relatively penetrable characteristics up to several gigahertz frequency range because of its fatty composition. Also, its small volume makes it amenable for microwave imaging applications. Although its heterogeneous nature complicates imaging, the high electrical property value (permittivity and conductivity) contrast of normal and malignant human breast tissue suggests active microwave imaging methods are promising for the detection of tumors in breast tissue.; This dissertation has developed a methodology to detect and identify a tumor in breast tissue in 3-D computer simulations with the FDTD method. We have developed an algorithm to detect the tumor location in the breast tissue in terms of its relatively high microwave scattering property within the surround tissue for a particular breast and imaging-system model. A data bank has been created to model the returns of different type and shape of tumors to be used in a matched-filtering test based on the tumor location information. The performance of the matched-filtering in terms of the tumor size and antenna-array size has been demonstrated. Finally, a new approach has been proposed to optimally reduce the clutter level in the breast return signals since this is the biggest obstacle in the performance of the matched-filtering. We have shown that this approach reduces the burden on the hardware for successful matched-filtering conditions.
机译：微波可以不同程度地通过生物组织边界，在生物组织边界处吸收和反射。这些因素使微波能够用于医学诊断，尤其是根据组织特性和频率对生物学结构进行成像。乳房组织由于其脂肪成分而在几千兆赫的频率范围内显示出相对可穿透的特征。而且，其体积小使其适合微波成像应用。尽管其异质性使成像变得复杂，但是正常和恶性人类乳房组织的高电特性值（介电常数和电导率）对比表明，有源微波成像方法有望用于检测乳房组织中的肿瘤。本论文开发了一种在FDTD方法的3D计算机模拟中检测和识别乳腺组织中肿瘤的方法。对于特定的乳房和成像系统模型，我们已经开发了一种算法，可以根据肿瘤在周围组织内相对较高的微波散射特性来检测乳房组织中的肿瘤位置。已经创建了一个数据库，以对不同类型和形状的肿瘤的回报进行建模，以基于肿瘤位置信息在匹配过滤测试中使用。已经证明了在肿瘤大小和天线阵列大小方面匹配过滤的性能。最后，由于这是匹配滤波性能的最大障碍，因此提出了一种新方法来最佳地降低乳房回波信号中的杂波水平。我们已经表明，这种方法减少了成功匹配过滤条件下硬件的负担。

著录项

  • 作者

    Oral, Emin Argun.;

  • 作者单位

    Northwestern University.;

  • 授予单位 Northwestern University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 143 p.
  • 总页数 143
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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