Digital image distance measurements have two sources of error: they are the
inherent image pixelation error and modality-specific registration errors.
A theoretical analysis was performed to determine the pixelation error unc
ertainty in ultrasound (US) clinical and phantom digital image distance mea
surements. For horizontal or vertical phantom image distance measurements,
the average absolute image pixelation error was found to be 0.5 pixel width
. In the clinical horizontal case, the combined absolute distance measureme
nt error due to pixel size and operator cursor placement errors was found t
o be 1.5 pixel widths (for a cursor placement error of 1 pixel width). For
image clinical distance measurements, a formula is given for the dependence
of the measurement error on the inclination of the measured structure in t
he pixel matrix, A protocol is recommended that minimizes all sources of er
ror in clinical image distance measurements, (C) 2000 World Federation for
Ultrasound in Medicine & Biology.