New methods of MR image intensity standardization via generalized scale
New methods of MR image intensity standardization via generalized scale
复制标题
DOI：
10.1118/1.2335487
复制
发表时间：
2006-09-01
期刊：
影响因子：
3.8
通讯作者：
Udupa, Jayaram K.
中科院分区：
文献类型：
--
作者：
Madabhushi, Anant;Udupa, Jayaram K.
图像强度标准化是一种采集后处理操作，旨在校正磁共振（MR）图像中固有的采集间信号强度变化（非标准性）。虽然基于直方图界标的现有标准化方法已经被示出在所得图像强度的相似性方面产生显著增益，但是它们的弱点在于，在某些情况下，相同的基于直方图的界标可以表示一个组织，而在其他情况下，它可以表示不同的组织。这通常适用于患病或异常患者研究，其中可能发生图像强度特征的显著变化。在试图克服这个问题，在本文中，我们提出了两个新的强度标准化方法的基础上，在Madabhushi等人[计算机视觉图像理解101，100-121（2006）]的图像处理应用程序中开发的两个规模的概念。本文利用这些尺度概念来准确确定MR图像中的主要组织区域。从这些区域导出的地标用于执行强度标准化。新的方法进行了定性和定量评价，共67个临床三维（3D）MR图像对应于四个不同的协议和正常，多发性硬化症（MS），脑肿瘤患者的研究。新的基于尺度的方法被发现比现有的方法更好，在严重疾病和异常患者的研究中观察到显着的改善。(c)2006年美国医学物理学家协会。
Image intensity standardization is a post-acquisition processing operation designed for correcting acquisition-to-acquisition signal intensity variations (non-standardness) inherent in Magnetic Resonance (MR) images. While existing standardization methods based on histogram landmarks have been shown to produce a significant gain in the similarity of resulting image intensities, their weakness is that in some instances the same histogram-based landmark may represent one tissue, while in other cases it may represent different tissues. This is often true for diseased or abnormal patient studies in which significant changes in image intensity characteristics may occur. In an attempt to overcome this problem, in this paper, we present two new intensity standardization methods based on two scale concepts developed in Madabhushi et al. [Computer Vision Image Understanding 101, 100-121 (2006)] for image processing applications. These scale concepts are utilized in this paper to accurately determine principal tissue regions within MR images. Landmarks derived from these regions are used to perform intensity standardization. The new methods were qualitatively and quantitatively evaluated on a total of 67 clinical three dimensional (3D) MR images corresponding to four different protocols and to normal, Multiple Sclerosis (MS), and brain tumor patient studies. The new scale-based methods were found to be better than the existing methods, with a significant improvement observed for severely diseased and abnormal patient studies. (c) 2006 American Association of Physicists in Medicine.