RT Journal Article
SR Electronic
T1 MR quantification of cerebral ventricular volume using a semiautomated algorithm.
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
SP 1373
OP 1378
VO 14
IS 6
A1 Johnson, L A
A1 Pearlman, J D
A1 Miller, C A
A1 Young, T I
A1 Thulborn, K R
YR 1993
UL http://www.ajnr.org/content/14/6/1373.abstract
AB PURPOSE A semiautomated border identification algorithm, insensitive to user bias, is evaluated for accuracy and speed in the measurement of ventricular volumes from three-dimensional MR images.METHODS A three-dimensional gradient-echo technique was implemented on a Signa clinical imaging system. Data from phantoms and patients were analyzed for volume using a segmentation algorithm designed with: 1) correction for partial volume averaging; 2) insensitivity to user bias; and 3) speed. Accuracy, precision, and intra- and interobserver variability were determined.RESULTS Average error for phantom studies was 4% to 6%, or 1 to 2 cc across the volumes, which ranged from normal to mild hydrocephalus (< 60 cc). Patient studies showed intra- and interobserver error of 2.3% and 7.8%, respectively. The correction for partial volume averaging resulted in a threefold decrease in error. Data were acquired and reconstructed within 7 minutes. Experienced radiologists required less than 15 minutes to perform each analysis.CONCLUSIONS This algorithm allows accurate measurement of ventricular volumes in an efficient, minimally supervised manner.