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用于微波乳房成像技术研究和开发的拟人乳房模型库。

Anthropomorphic breast model repository for research and development of microwave breast imaging technologies.

机构信息

Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada.

出版信息

Sci Data. 2018 Nov 20;5:180257. doi: 10.1038/sdata.2018.257.

DOI:10.1038/sdata.2018.257
PMID:30457568
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6244182/
Abstract

A repository of anthropomorphic numerical breast models is made available for the scientific community to support research and development of microwave imaging technologies for diagnostic and therapeutic applications. These models are constructed from magnetic resonance imaging (MRI) scans acquired at our university hospital. Our 3D breast modelling method is used to translate the MRI scans into 3D models representing the geometry and microwave-frequency properties of tissues in the breast. The reconstructed models demonstrate anatomical realism, reconfigurable complexity, and flexibility to adapt to simulations of various microwave imaging techniques and prototype systems. With these models, realistic and rigorous test scenarios can be defined in simulations to support feasibility analysis, performance verification and design improvements of developing microwave imaging techniques, prior to testing on experimental systems. A repository of breast models is created which includes breasts of varying classification - fatty, scattered, heterogeneous, and dense. In addition, the models include brief documentation to facilitate researchers in selecting a model by matching its features with their requirements.

摘要

为支持用于诊断和治疗应用的微波成象技术的研究和开发,向科学界提供了拟人化数值乳房模型库。这些模型是用在我们大学医院获得的磁共振成象(MRI)扫描数据构造的。我们的三维乳房建模方法用来把 MRI 扫描数据转变成三维模型,代表乳房组织的几何形状和微波频率特性。所重建的模型具有解剖真实性、可重新配置的复杂性和灵活性,可以适应各种微波成象技术和原型系统的模拟。有了这些模型,就可以在模拟中定义现实而严格的测试场景,以支持正在开发的微波成象技术的可行性分析、性能验证和设计改进,然后再在实验系统上进行测试。创建了一个乳房模型库,其中包括各种分类的乳房 - 脂肪型、散在型、异质型和密集型。此外,模型还包括简要的文档,以便于研究人员通过将其特征与他们的要求相匹配来选择模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/9cdab5a01e2d/sdata2018257-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/f4cfdc3b9c0e/sdata2018257-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/ce1e2b39d84f/sdata2018257-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/63820c3a264a/sdata2018257-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/352c31af67b8/sdata2018257-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/9cdab5a01e2d/sdata2018257-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/f4cfdc3b9c0e/sdata2018257-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/ce1e2b39d84f/sdata2018257-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/63820c3a264a/sdata2018257-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/352c31af67b8/sdata2018257-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dc5/6244182/9cdab5a01e2d/sdata2018257-f5.jpg

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