医学
磁共振成像
放射科
图像质量
磁共振弥散成像
医学物理学
人工智能
图像(数学)
计算机科学
作者
Alvin C. Silva,James Michael Evans,Ann E. McCullough,Mashal A. Jatoi,Hugo E. Vargas,Amy K. Hara
出处
期刊:Radiographics
[Radiological Society of North America]
日期:2009-03-01
卷期号:29 (2): 385-402
被引量:115
摘要
Major technologic advances in magnetic resonance (MR) imaging, including the advent of novel pulse sequences (eg, diffusion-weighted and steady-state free precession sequences) and the use of hepatocyte-specific contrast agents, have led to better image quality and shorter acquisition times, resulting in dramatic improvements in the noninvasive detection and characterization of hepatic lesions, particularly hypervascular neoplasms. However, as the role of MR imaging in clinical evaluation of the liver continues to evolve, keeping abreast of new developments can be daunting as well as confusing. A systematic approach that makes use of a simple decision algorithm can help differentiate hypervascular hepatic lesions on the basis of their distinguishing MR imaging characteristics and related clinical information. © RSNA, 2009
科研通智能强力驱动
Strongly Powered by AbleSci AI