Hybrid near field microwave imaging incorporating multistatic adaptive wavefront reconstruction and micro-sensor arrays for breast cancer detection

混合近场微波成像结合多基地自适应波前重建和微传感器阵列用于乳腺癌检测

• 批准号: 401952-2011
• 负责人: Pistorius, Stephen
• 金额: $ 2.7万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=487889
• 关键词: Hybrid; near; field; microwave; imaging

Introduction: Microwave imaging is a novel non-ionizing breast imaging technique. Recent studies have shown that this technology has promise. However, most microwave imaging methods rely on traditional antennas and variations in the propagation speed, inaccurate measurement of the E-M field and the ill-posed scattering problem result in images that lack sensitivity, specificity and resolution. Hypothesis: A hybrid radar/tomographic system that combines multistatic adaptive wavefront reconstruction and spintronic phase resolved sensing will enable breast lesions to be detected with a higher Signal to Clutter Ratio (SCR), spatial accuracy, sensitivity and specificity than existing methods. Objectives: 1. Develop an adaptive holographic technique for multistatic image formation that incorporates an accurate estimation of propagation speed. 2. Investigate the ability of this algorithm to work with E-M signals measured using microsensor arrays. 3. Validate the feasibility of integrating tomographic and radar approaches with phase resolved spintronic sensors. Methods: A 3D multidetector BMR system operating in the 1GHz-10GHz band will be developed. It will use a semi-spherical array of antennas and sensors to image the breast. The experimental data sets will be collected from phantoms that mimic the dielectric properties of breast tissues. The performance of this method will be assessed by calculating the spatial accuracy, SCR, specificity and sensitivity of reconstructed images. Significance: This research into automated holographic reconstruction methods for multistatic BMR image reconstruction could improve breast cancer diagnosis. A robust method for generating accurate multistatic BMR images without artifacts will solve issues that face current reconstruction methods and will enable us to determine if microwave based imaging could differentiate between malignant and benign breast lesions. Conclusion: This research will contribute to the development of a novel breast imaging modality that will be accurate, comfortable, and safe. Such systems could be used for screening in remote and developing areas and for improving the accuracy of breast cancer diagnosis, thereby improving the quality of life for all women.

前言：微波成像是一种新型的非电离乳腺成像技术。最近的研究表明，这项技术很有前途。然而，大多数微波成像方法依赖于传统的天线，传播速度的变化，电磁场测量的不准确，以及不适定的散射问题，导致成像缺乏敏感性、特异性和分辨率。假设：结合多基地自适应波前重建和自旋电子相位分辨传感的混合雷达/断层成像系统将能够以比现有方法更高的信杂比(SCR)、空间准确性、灵敏度和特异性来检测乳腺病变。目标：1.发展一种多基地成像的自适应全息技术，该技术包含对传播速度的准确估计。2.研究了该算法对微传感器阵列测量的电磁信号的处理能力。3.验证了将层析成像和雷达方法与相分辨自旋电子式传感器相结合的可行性。方法：研制一套工作在1 GHz-10 GHz波段的三维多探测器BMR系统。它将使用由天线和传感器组成的半球形阵列来对乳房进行成像。实验数据集将从模仿乳腺组织介电特性的模体中收集。该方法的性能将通过计算重建图像的空间精度、SCR、特异性和敏感度来评估。意义：研究用于多站BMR图像重建的自动全息重建方法可以提高乳腺癌的诊断水平。一种可靠的无伪影的多站BMR图像生成方法将解决当前重建方法面临的问题，并使我们能够确定基于微波的成像是否可以区分乳腺良恶性病变。结论：这项研究将有助于开发一种准确、舒适和安全的新型乳房成像设备。这种系统可用于偏远和发展中地区的筛查，并用于提高乳腺癌诊断的准确性，从而改善所有妇女的生活质量。