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相关概念视频

Ultrasonography01:17

Ultrasonography

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning
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使用条件生成对抗网络进行超声波成像.

Nathan Molinier1, Guillaume Painchaud-April2, Alain Le Duff2

  • 1PULÉTS, École de Technologie Supérieure (ÉTS), Montréal, H3C 1K3, QC, Canada.

Ultrasonics
|June 3, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种更快的超声波非破坏性测试方法,使用条件生成对抗网络 (cGAN) 来从平面波 (PW) 数据中创建总聚焦方法 (TFM) 图像,显著减少处理时间和文件大小.

关键词:
深度学习是一种深度学习.生成型模型是一种生成型模型.根据TFM的规定,我们可以使用TFM.超声波成像 超声波成像超声波相位阵列的超声波相位阵列.在CHANGAN中,我们可以看到.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 工程 工程师 工程师 工程师
  • 计算机科学 计算机科学

背景情况:

  • 全矩阵捕获 (FMC) 和总聚焦方法 (TFM) 是超声波非破坏性测试的标准.
  • FMC数据采集和TFM处理耗时,限制了高频率的检查.

研究的目的:

  • 为超声波非破坏性测试开发一种比传统的FMC-TFM更快的替代方案.
  • 评估条件生成对抗网络 (cGANs) 在从平面波 (PW) 数据中重建类似TFM图像的性能.

主要方法:

  • 建议用单个零度平面波 (PW) 无声化取代FMC采集.
  • 雇佣有条件生成对抗网络 (cGANs),训练它们生成类似TFM的图像.
  • 从FMC数据计算的传统TFM与三个cGAN模型进行了比较.

主要成果:

  • cGAN重建了类似TFM的图像,其分辨率与传统TFM相比.
  • 在超过94%的重建中,图像对比度得到了改善.
  • 通过有偏见的cGAN培训,减少了背景噪音和消除了文物.
  • 计算时间减少了120倍,文件大小减少了75倍.

结论:

  • 拟议的基于cGAN的方法为超声波非破坏性测试提供了更快,更有效的方法.
  • 这种技术保持了图像分辨率,同时增强了对比度和减少了文物.
  • 该方法适用于高频率的检查,传统的FMC-TFM是不切实际的.