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相关概念视频

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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用于MR图像重建的POCS增强循环GAN

Yiran Li1,2, Hanlu Yang3, Danfeng Xie1,2

  • 1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD 21201, USA.

Applied sciences (Basel, Switzerland)
|July 19, 2023
PubMed
概括

这项研究引入了混合深度学习 (DL) 和传统方法,以实现更快的磁共振 (MR) 图像重建. 与现有方法相比,结合CycleGAN和POCS显著提高了MR图像重建质量.

关键词:
投射在凸集上的投影深度学习是一种深度学习.重建的重建的重建.

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科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 计算科学 计算科学

背景情况:

  • 磁共振 (MR) 图像重建是计算密集的.
  • 深度学习 (DL) 显示了加速MR图像重建的前景.
  • 传统方法和DL方法通常被认为是独立的.

研究的目的:

  • 研究传统的MR图像重建方法和DL的互补性.
  • 开发一种混合方法,将DL和传统算法结合起来,以改进MR图像重建.
  • 评估拟议的混合方法与现有的最先进技术的有效性.

主要方法:

  • 开发了一种混合DL方法,集成了一个具有循环损失 (CycleGAN) 和投射对凸集 (POCS) 的生成对抗网络.
  • POCS更新了最初的CycleGAN培训代的输出,为随后的培训提供了增强的数据.
  • 混合方法的测试使用了部分样本的磁共振成像数据.

主要成果:

  • 混合CycleGAN-POCS方法证明了优越的MR图像重建质量.
  • 性能与其他DL方法 (U-Net,GAN,RefineGAN) 和压缩传感进行了比较.
  • 提出的方法在所有测试方法中产生了最好的重建结果.

结论:

  • 传统方法和DL在MR图像重建中是互补的.
  • 混合CycleGAN-POCS方法为高质量,加速的MR成像提供了一个有希望的方向.
  • 这项工作验证了医疗成像应用中代重建和深度学习之间的协同作用.