优化磁共振图像对比度信息系统的开发

2020 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2020-10-15 DOI:10.1109/EExPolytech50912.2020.9243858

A. Nikitina, Yu. V. Bogachev

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引用次数: 0

摘要

在这项工作的框架内，开发了一个信息系统来优化磁共振图像的对比度。为了实现该算法，对各种方法进行了分析，并开发了层析成像可视化算法。研究了各种对比度优化方法。研究了一种基于磁性纳米颗粒的新型多模态药物。在MRI诊断中应用这些物质作为阴性对比剂的前景进行了评估。通过优化扫描方式来提高磁共振图像的对比度。

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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Development of an Information System for Optimizing the Contrast of a Magnetic Resonance Image

In the framework of this work, an information system was developed to optimize the contrast of magnetic resonance images. For its implementation, an analysis of the methods was carried out and tomogram visualization algorithms were developed. Various contrast optimization methods have been investigated. A study of new multimodal agents based on magnetic nanoparticles was conducted. The prospects of using these substances as negative contrasting agents in MRI diagnostics were evaluated. Methods have been developed to increase the contrast of magnetic resonance images by optimizing scanning modes.

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2020 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)

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