BACKGROUND/AIMS: Computed tomography (CT) scans are common examinations for
patients with chronic liver diseases. To quanti tate the organ or tumor vo
lume from the scans and to accomplish the task in an efficient way with the
most economic equipment, we developed a system based on a personal compute
r.
METHODOLOGY: We used color-markers and transparency to sketch the edges of
liver, hepatoma, and spleen. Each organ or tumor of interest is marked out
by fine-point markers on pieces of transparency. The sketch was scanned int
o a digitized image format; on a personal computer (Pentium 133). The calcu
lation involves edge-detection, three-dimensional reconstruction, and voxel
counting. By using summation-of-the-area and trapezoid approximation techn
ique, the voxels of each structure are counted. In this study, we illustrat
e the potential application in the management of a hepatic cancer patient.
RESULTS: After digitalization, the data size of CT images-is about 1 to 1.5
megabytes. It takes less than 5min to complete volume calculation.
CONCLUSIONS: By this method, tumor load before and after chemotherapy can b
e estimated easily and accurately. This would be helpful in clinical practi
ce.