Automatic Method for Tracing Regions of Interest in Rat Brain Magnetic Resonance Imaging Studies
Automatic Method for Tracing Regions of Interest in Rat Brain Magnetic Resonance Imaging Studies
复制标题
大鼠脑磁共振成像研究中追踪感兴趣区域的自动方法
DOI：
10.1002/jmri.22283
复制
发表时间：
2010-10-01
影响因子：
4.4
通讯作者：
Zhao, Shujun
中科院分区：
文献类型：
--
作者：
Nie, Binbin;Hui, Jiaojie;Zhao, Shujun
目的：为了自动提取感兴趣区域（ROI），同时保留每个人的解剖特征，我们开发了一种新的基于图谱的方法，利用一对coregistered大脑模板和数字atlas.Materials和方法：与以前的基于图谱的方法不同，这种方法将每个人作为目标图像，模板和图谱都被转换为与个人注册。为了评估该方法的准确性，我们将其用于从两组具有不同空间分辨率的T-2加权结构图像和一组T-2* 加权功能图像中提取海马。结果：Jaccard相似度（JS）为84.7%~ 90.5%，体积相对误差（RV）为4.8%~ 12.7%。所提出的方法和手动绘图的结果之间观察到的一致性，因此consideration.Conclusion：我们开发了一种新的基于图集的方法，可以自动提取ROI，同时保留每个人的独特的解剖特征的ROI提取。
Purpose: To automatically extract regions of interest (ROIs) and simultaneously preserve the anatomical characteristics of each individual, we developed a new atlas-based method utilizing a pair of coregistered brain template and digital atlas.Materials and Methods: Unlike the previous atlas-based method, this method treats each individual as the target image, and the template and atlas are each transformed to register with the individual. To evaluate the accuracy of this method we implemented it in extracting the hippocampus from two groups of T-2-weighted structural images with different spatial resolutions and a group of T-2*weighted functional images. Furthermore, the results were compared against a manually segmented hippocampus and an atlas-derived hippocampus.Results: Jaccard similarity (JS) reached 84.7%-90.5%, and relative error in volume (RV) was 4.8%-12.7%. The consistency observed between the results of the proposed method and manual drawing was therefore considerable.Conclusion: We developed a new atlas-based method for ROI extraction that can automatically extract ROI and simultaneously preserve each individual's unique anatomical characteristics.