A Review on MR Image Intensity Inhomogeneity Correction.
A Review on MR Image Intensity Inhomogeneity Correction.
复制标题
DOI：
10.1155/ijbi/2006/49515
复制
发表时间：
2006
影响因子：
7.6
通讯作者：
Hou Z
中科院分区：
文献类型：
--
作者：
Hou Z
在MR成像中经常遇到强度不均匀性（IIH），并且已经设计了许多技术来纠正该伪像。本文试图回顾IIH字段数学建模中的一些最新发展。低频模型被广泛使用，但它们倾向于破坏组织的低频组成部分。 HyperSurface模型和统计模型可以适应图像，并且通常更稳定，但是它们通常也更复杂，并且消耗了更多的计算机存储器和CPU时间。它们通常与一个框架内的图像分割一起配制，并且整体性能高度取决于分割过程。除了这三个流行模型外，本文还根据不同的原理总结了其他技术。此外，讨论了定量评估和比较研究的问题。
Intensity inhomogeneity (IIH) is often encountered in MR imaging, and a number of techniques have been devised to correct this artifact. This paper attempts to review some of the recent developments in the mathematical modeling of IIH field. Low-frequency models are widely used, but they tend to corrupt the low-frequency components of the tissue. Hypersurface models and statistical models can be adaptive to the image and generally more stable, but they are also generally more complex and consume more computer memory and CPU time. They are often formulated together with image segmentation within one framework and the overall performance is highly dependent on the segmentation process. Beside these three popular models, this paper also summarizes other techniques based on different principles. In addition, the issue of quantitative evaluation and comparative study are discussed.