Super-Resolution in Medical Imaging
Super-Resolution in Medical Imaging
复制标题
DOI：
10.1093/comjnl/bxm075
复制
发表时间：
2009-01-01
期刊：
影响因子：
1.4
通讯作者：
Greenspan, Hayit
中科院分区：
文献类型：
--
作者：
Greenspan, Hayit
本文综述了超分辨率技术在医学成像中的应用。存在许多成像模态。一些提供解剖学信息并揭示有关人体结构的信息，另一些提供功能信息，特定活动和指定任务的活动位置。每个成像系统具有特征分辨率，该特征分辨率基于系统检测器的物理约束来确定，系统检测器又被调谐到信噪比和定时考虑。系统的共同目标是提高分辨率，并尽可能实现真正的各向同性3-D成像。SR技术可以促进这一目标的实现。近年来，在MRI、fMRI和PET等关键医学成像模式中，SR的研究开始出现，本文对其进行了综述。所使用的算法大多是基于标准SR算法。结果表明，在实际的医疗应用中引入SR技术的潜力。
This paper provides an overview on super-resolution (SR) research in medical imaging applications. Many imaging modalities exist. Some provide anatomical information and reveal information about the structure of the human body, and others provide functional information, locations of activity for specific activities and specified tasks. Each imaging system has a characteristic resolution, which is determined based on physical constraints of the system detectors that are in turn tuned to signal-to-noise and timing considerations. A common goal across systems is to increase the resolution, and as much as possible achieve true isotropic 3-D imaging. SR technology can serve to advance this goal. Research on SR in key medical imaging modalities, including MRI, fMRI and PET, has started to emerge in recent years and is reviewed herein. The algorithms used are mostly based on standard SR algorithms. Results demonstrate the potential in introducing SR techniques into practical medical applications.