Title :
Automatic detection of brain contours in MRI data sets
Author :
Brummer, Marijn E. ; Mersereau, Russell M. ; Eisner, Robert L. ; Lewine, Richard R J
Author_Institution :
Dept. of Radiol., Emory Univ. Sch. of Med., Atlanta, GA, USA
fDate :
6/1/1993 12:00:00 AM
Abstract :
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 2-D and 3-D 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
Keywords :
biomedical NMR; brain; medical image processing; MRI data sets; anatomical knowledge; automatic brain contours detection; coherent 2D brain masks propagation; coronal orientation; head data volume; histogram-based thresholding step; image intensity correction procedure; magnetic resonance imaging; medical diagnosis; morphological operations; overlap tests; Automation; Biomedical imaging; Image analysis; Image segmentation; Magnetic heads; Magnetic resonance imaging; Morphological operations; Performance evaluation; Rendering (computer graphics); Testing;
Journal_Title :
Medical Imaging, IEEE Transactions on