Precise segmentation of the lateral ventricles and caudate nucleus in MR brain images using anatomically driven histograms.
This paper demonstrates a time-saving, automated method that helps to segment the lateral ventricles and caudate nucleus in T1-weighted coronal magnetic resonance (MR) brain images of normal control subjects. The method involves choosing intensity thresholds by using anatomical information and by locating peaks in histograms. To validate the method, the lateral ventricles and caudate nucleus were segmented in three brain scans by four experts, first using an established method involving isointensity contours and manual editing, and second using automatically generated intensity thresholds as an aid to the established method. The results demonstrate both time savings and increased reliability.
A J
AJ
Worth
N
N
Makris
M R
MR
Patti
J M
JM
Goodman
E A
EA
Hoge
V S
VS
Caviness
D N
DN
Kennedy
D000328:Adult; D000465:Algorithms; D002421:Caudate Nucleus / Q000033:anatomy & histology*; D002552:Cerebral Ventricles / Q000033:anatomy & histology*; D002648:Child; D003337:Corpus Callosum / Q000033:anatomy & histology; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D015203:Reproducibility of Results; D013997:Time Factors