Pham Tuan D, Eisenblätter Uwe, Baune Bernhard T, Berger Klaus
Bioinformatics Research Group, ADFA School of Information Technology and Electrical Engineering, University of New South Wales, Canberra, ACT 2600, Australia.
J Neurosci Methods. 2009 Jun 15;180(2):352-62. doi: 10.1016/j.jneumeth.2009.03.020. Epub 2009 Mar 31.
The magnetic resonance imaging (MRI) of the brain is one of the important data items for studying memory and morbidity in elderly as these images can provide useful information through the quantitative measures of various regions of interest of the brain. As an effort to fully automate the biomedical analysis of the brain that can be combined with the genetic data of the same human population and where the records of the original MRI data are missing, this paper presents two effective methods for addressing this imaging problem. The first method handles the restoration of the film-copied MRI. The second method involves the segmentation of the image data. Experimental results and comparisons with other methods suggest the usefulness of the proposed image analysis methodology.
脑部的磁共振成像(MRI)是研究老年人记忆力和发病率的重要数据项之一,因为这些图像可以通过对大脑各个感兴趣区域的定量测量提供有用信息。为了实现可与同一人群的基因数据相结合且原始MRI数据记录缺失情况下的脑部生物医学分析完全自动化,本文提出了两种有效方法来解决这一成像问题。第一种方法处理胶片复制的MRI的恢复。第二种方法涉及图像数据的分割。实验结果以及与其他方法的比较表明了所提出的图像分析方法的有效性。