Breast Cancer Detection Using Electrical Impedance Measurements

使用电阻抗测量检测乳腺癌

基本信息

批准号：
7893578
负责人：
Eugene Demidenko
金额：
$ 24.34万
依托单位：
DARTMOUTH COLLEGE
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-08-01 至 2013-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7893578
关键词：
Accounting Arts Benign Breast Breast Cancer Detection Cancer Detection Cancer Diagnostics Characteristics Clinical Complex Computer Assisted Contralateral Coupled Data Databases Detection Development Diagnosis Discrimination Electromagnetics Equation Funding Goals Heterogeneity Image Imaging Techniques Intervention Knowledge Laws Lead Location Magic Magnetic Resonance Elastography Malignant - descriptor Malignant Neoplasms Mammaplasty Mammary Gland Parenchyma Mammography Maps Measurement Medical Methodology Methods Modeling Parents Patients Physicians Positioning Attribute Process Program Research Project Grants Property Rest Screening procedure Series Solutions Spatial Distribution Structure Surface System Testing Tissues Variant Woman Work base clinical infrastructure cost diffuse optical tomography electric impedance image reconstruction imaging modality improved in vivo innovation interest malignant breast neoplasm novel strategies parent grant programs public health relevance reconstruction research study simulation tomography tool

项目摘要

DESCRIPTION (provided by applicant): The goal of this project is to develop a computer-aided system to detect abnormalities in breasts, cancer particularly, using electrical impedance tomography (EIT) measurements. The present project aims to develop alternative and inexpensive screening tools to assist in diagnosis in situations where mammography is inconclusive. We hypothesize that different abnormalities have different electromagnetic properties and therefore these properties may be identified and classified using electrical impedance data. Although various breast imaging techniques are available, our goal is to statistically detect a deviation from normality. Therefore, our project aims to not only obtain an image of the breast, but to provide a probabilistic assessment of the fact that in the region of interest, the electromagnetic properties of the breast differ from the rest of the tissue or from bilaterally symmetric locations in the contralateral breast. Our project will leverage the effort and activity from a recently funded program project on alternative breast imaging modalities. Specifically we will use, EIT patient data, including cancer data from this project. Three methods will be explored for statistical breast abnormality detection and discrimination: (1) a Breast Signature Pyramid derived directly from the Neumann-to-Dirichlet map, (2) abnormality localization and detection using the Product--Image by reducing the underlying Laplace partial differential equations into a set of coupled ordinary differential equations, (3) the Mixed Model approach to image reconstruction in which optimal regularization parameters will be estimated from the EIT data. These novel approaches are based on recent mathematical discoveries related to the magic Toeplitz matrix, imageless reconstruction of the electromagnetic properties of in vivo tissues using surface measurements, the generalized form of Ohm's law, and a mixed model approach to solving complex inverse problems. PUBLIC HEALTH RELEVANCE The goal of this project is to develop a computer-aided system to detect abnormalities in breasts, cancer particularly, using electrical impedance tomography (EIT) measurements. The proposed project aims to develop alternative and inexpensive screening tools to assist in diagnosis in situations where mammography is inconclusive. We anticipate that our methodology will improve the sensitivity of cancer detection especially for younger women with dense breast tissue.

描述（由申请人提供）：该项目的目的是开发一种计算机辅助系统来检测乳房异常，尤其是使用电阻抗层析成像（EIT）测量值。本项目旨在开发替代和廉价的筛查工具，以在乳房X线摄影症状尚无定论的情况下协助诊断。我们假设不同的异常具有不同的电磁特性，因此可以使用电阻抗数据对这些特性进行识别和分类。尽管可以使用各种乳房成像技术，但我们的目标是从统计上检测到与正常性的偏差。因此，我们的项目不仅旨在获得乳房的图像，而且要提供概率评估，即在感兴趣的地区，乳房的电磁特性与组织的其余部分或对侧乳房中的双侧对称位置有所不同。我们的项目将利用最近资助的有关替代乳房成像方式的计划项目的努力和活动。具体来说，我们将使用EIT患者数据，包括该项目的癌症数据。将探索三种方法以进行统计乳房异常检测和区分：（1）直接从诺伊曼到迪里奇的图中得出的乳房签名金字塔，（2）使用产物图像的异常定位和检测 - 通过将基础的laplace偏微分方程降低到融合的差异范围（3）图像中（3）图像（3）图像（3）图像（3）图像。参数将从EIT数据估算。这些新颖的方法基于与魔术toeplitz矩阵有关的最新数学发现，使用表面测量，欧姆定律的广义形式的体内组织电磁特性的无图像重建以及解决复杂的逆问题的混合模型方法。公共卫生相关性该项目的目标是开发一种计算机辅助系统来检测乳房异常，尤其是使用电阻抗断层扫描（EIT）测量值。拟议的项目旨在开发替代和廉价的筛查工具，以帮助乳房X线摄影症状的情况下进行诊断。我们预计我们的方法学将提高癌症检测的敏感性，尤其是对于乳房密集组织的年轻女性。