Automated volumetry at CT colonography: a phantom study.
OBJECTIVE
To assess the performance of a computer-aided detection (CAD) algorithm for measuring polyp-like structures on CT colonography (CTC) images of a phantom.


METHODS
We constructed a Plexiglas phantom to which we affixed a series of idealized Plexiglas polyp-like objects, including spheres and hemispheres. We imaged the phantom in a four-channel detector CT scanner at a 1.3 mm slice thickness with a reconstruction interval of 0.6 mm, using combinations of 100 mAs, 30 mAs, horizontal and vertical orientation. For each set of CT images, the interior surface of the phantom was segmented. The CAD algorithm was applied to the resulting surface to identify the polypoid regions of interest and to calculate their volume and maximum linear dimension. Calculated values were then compared with actual values to yield percent error in each measurement.


RESULTS
The mean error in volume for the subgroups of spheres and hemispheres was 3% and 5% respectively. Mean error in linear dimension was approximately 2% for both shape subgroups. All CAD-calculated values were closely correlated with their respective actual values. Parameter selection did not significantly affect the accuracy of the calculated measurements.


CONCLUSIONS
Our CAD software accurately measured the greatest linear dimension and the volume of each of the polyp-like structures in our phantom. Results were largely independent of phantom orientation and the CT exposure factors.
Blake
Meghan E
ME
Department of Radiology, Boston University School of Medicine, 88 East Newton Street, Boston, MA 02118, USA. mebblake@yahoo.com
Soto
Jorge A
JA
Hayes
Robert A
RA
Ferrucci
Joseph T
JT
D000465:Algorithms; D001331:Automation; D003106:Colon / Q000473:pathology*; D023881:Colonography, Computed Tomographic; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019047:Phantoms, Imaging; D012044:Regression Analysis