University of Manitoba Breast Microwave Imaging Dataset (UM-BMID)

Microwave-based breast cancer detection is a growing field that has been investigated as a potential novel method for breast cancer detection. Breast microwave sensing (BMS) systems use low-powered, non-ionizing microwave signals to interrogate the breast tissues. While some BMS systems have been evaluated in clinical trials, many challenges remain before these systems can be used as a viable clinical option, and breast phantoms (breast models) allow for rigorous and controlled experimental investigations. This dataset, the University of Manitoba Breast Microwave Imaging Dataset (UM-BMID), contains S-parameter measurements from experimental scans of MRI-derived breast phantoms, obtained with a pre-clinical breast microwave sensing system operating over 1-8 GHz. The dataset consists of measurements from over 1250 scans of a diverse array of phantoms. The phantom array consists of phantoms of various sizes and breast densities. The .stl files used to produce the 3D-printed phantoms are also included in the dataset. We hope that this dataset can serve as a resource for researchers in breast microwave sensing to evaluate signal processing, image reconstruction, and tumour detection methods.基于微波的乳腺癌检测是一个日益发展的研究领域，作为一种潜在的新型乳腺癌检测手段受到广泛研究。乳腺微波传感（Breast Microwave Sensing, BMS）系统采用低功率、非电离微波信号对乳腺组织进行探测。尽管已有部分BMS系统在临床试验中得到评估，但此类系统要成为可行的临床方案仍面临诸多挑战，而乳腺体模（breast models）则为开展严谨可控的实验研究提供了可行途径。本数据集为曼尼托巴大学乳腺微波成像数据集（University of Manitoba Breast Microwave Imaging Dataset, UM-BMID），包含了基于MRI衍生的乳腺体模的实验扫描S参数（散射参数）测量数据，采集自工作频段为1~8 GHz的临床前乳腺微波传感系统。该数据集涵盖了对多种不同体模开展的超过1250次扫描测量结果，这些体模涵盖了不同尺寸与乳腺密度的类型。数据集同时附带了用于3D打印体模的.stl文件。我们期望本数据集可为乳腺微波传感领域的研究者提供研究资源，用于评估信号处理、图像重建以及肿瘤检测相关方法。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于乳腺微波成像研究的开放获取资源，包含来自MRI衍生乳腺模型的S参数测量数据，频率覆盖1-8 GHz，数据量超过1250次扫描，涵盖不同大小和密度的模型。它旨在支持乳腺癌检测领域的信号处理、图像重建和肿瘤检测方法的研究与评估，并提供3D打印模型文件以促进实验复现。