放大对比剂对磁共振图像的影响,使用在合成数据上训练的深度学习方法
Alberto Fringuello Mingo1, Sonia Colombo Serra, Anna Macula
1From the Bracco Imaging Spa, Milan, Italy (A.F.M., S.C.S., D.B., F.L.C., M.A., F.T., G.V.); Università degli Studi di Torino, Turin, Italy (A.M., A.B.); Centro Diagnostico Italiano, Milan, Italy (M.A., S.P.); Department of Radiology and Nuclear Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands (M.S.); and Medical Delta, Delft, the Netherlands (M.S.).
Investigative radiology
|June 28, 2023
概括
这项研究引入了一种新的AI方法,使用合成数据在MRI扫描中放大对比度,提高了小脑损伤的检测. 这种方法提高了诊断能力,而不需要更高的对比剂剂量.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 放射学 放射学是一门学科.
背景情况:
- 诊断成像中的标准对比剂剂量可能会限制诊断功率.
- 获得大量数据集与非标准的对比剂剂量用于人工智能培训是具有挑战性的.
- 人工智能 (AI) 提供了超越传统限制的图像对比度增强的潜力.
研究的目的:
- 开发一种用于生成合成数据的方法,以训练人工智能剂在MRI中进行对比放大.
- 在临床前和临床环境中验证AI代理的性能,以提高诊断灵敏度.
主要方法:
- 一个物理模型模拟了基于加多的对比剂 (CA) 的MR对比增强.
- 在模拟数据上训练了一个神经网络,以在较高的CA剂量下预测对比度.
- 这种方法在临床前小鼠质瘤模型和1990年患者的回顾性临床研究中得到了验证.
主要成果:
- 虚拟双剂图像与实验数据密切匹配,比标准剂量显著改善.
- 临床应用表明,对比度与噪声比率平均增加155%,损伤与大脑比率平均增加34%.
- 与标准剂量图像相比,人工智能增强图像在检测小脑病变方面显著提高了灵敏度.
结论:
- 合成数据生成有效地训练了一个深度学习模型用于MRI的对比放大.
- 人工智能方法可以产生超过标准CA剂量的对比度,有助于检测小病变.
相关概念视频
01:24Magnetic Resonance Imaging
5.3K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.3K
01:27Imaging Studies IV: Magnetic Resonance Imaging
36
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
36