女性乳房图形电阻抗断层成像数据重建的仿真反演问题

2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2014-10-01 DOI:10.1109/HEALTHCOM.2014.7123253

Helber R. Ferreira, H. I. A. Bustos, Wilfredo B. Figuerola

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引用次数: 2

摘要

本文分析了电阻抗断层扫描(EIT)技术在乳腺癌诊断中的应用。模拟使用EIDORS(电阻抗层析成像和漫射光学层析成像重建软件)和OCTAVE(一种用于数值计算的计算工具)。我们比较了三种算法:先验拉普拉斯、NOSER和Tikhonov。NOSER算法根据肿瘤之间的接近度的性能指标获得最佳分类，其中该因素根据所选算法改变生成的重建图像的分辨率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Simulation inverse problems of reconstruction of image data using patterned electrical impedance tomography female breast

This article analyzes the performance of the Electrical Impedance Tomography (EIT) technique in the diagnosis of breast cancer. The simulations used EIDORS (Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software) and OCTAVE, a computational tool for numerical calculation. We compared three algorithms: prior Laplace, NOSER and Tikhonov. The NOSER algorithm obtained the best classification according to performance metrics of proximity between neoplasms, where this factor changes the resolution of the reconstruction images generated depending on the chosen algorithm.

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2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)

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