AUTOMATIC DETECTION OF BRAIN CONTOURS IN MRI DATA SETS
AUTOMATIC DETECTION OF BRAIN CONTOURS IN MRI DATA SETS
复制标题
DOI：
10.1109/42.232244
复制
发表时间：
1993-06-01
影响因子：
10.6
通讯作者：
LEWINE, RRJ
中科院分区：
文献类型：
--
作者：
BRUMMER, ME;MERSEREAU, RM;LEWINE, RRJ
一个软件程序，提出了全自动检测脑轮廓从单回波3-D MRI数据，最初开发的冠状方向扫描。该过程以分层方式检测头部数据卷中的结构。自动检测从基于直方图的阈值化步骤开始，必要时在图像强度校正过程之前进行。该步骤之后是细化二进制阈值掩模图像的形态学过程。解剖学知识，所需的和不需要的结构之间的歧视是必不可少的，在这一步中，通过一系列的传统和新颖的形态学操作，使用二维和三维操作。该过程的最后一步对相邻切片图像中的感兴趣的候选脑区域执行重叠测试，以通过第三维传播相干的2-D脑掩模。结果是23冠状全脑数据集，和一个矢状全脑数据集的程序测试运行。最后，潜在的推广到其他问题的技术进行了讨论，以及该技术的局限性。
A software procedure is presented for fully automated detection of brain contours from single-echo 3-D MRI data, developed initially for scans with coronal orientation. The procedure detects structures in a head data volume in a hierarchical fashion. Automatic detection starts with a histogram-based thresholding step, whenever necessary preceded by an image intensity correction procedure. This step is followed by a morphological procedure which refines the binary threshold mask images. Anatomical knowledge, essential for the discrimination between desired and undesired structures, is implemented in this step through a sequence of conventional and novel morphological operations, using two- and three-dimensional operations. A final step of the procedure performs overlap tests on candidate brain regions of interest in neighboring slice images to propagate coherent 2-D brain masks through the third dimension. Results are presented for test runs of the procedure on 23 coronal whole-brain data sets, and one sagittal whole-brain data set. Finally, the potential of the technique for generalization to other problems is discussed, as well as limitations of the technique.