S. Delorme et al., QUANTITATIVE CHARACTERIZATION OF COLOR DOPPLER IMAGES - REPRODUCIBILITY, ACCURACY, AND LIMITATIONS, Journal of clinical ultrasound, 23(9), 1995, pp. 537-550
Citations number
25
Categorie Soggetti
Radiology,Nuclear Medicine & Medical Imaging",Acoustics
A computer-based quantitative analysis for color Doppler images of com
plex vascular formations is presented. The red-green-blue-signal from
an Acuson XP10 is frame-grabbed and digitized. By matching each image
pixel with the color bar, color pixels are identified and assigned to
the corresponding flow velocity (color value). Data analysis consists
of delineation of a region of interest and calculation of the relative
number of color pixels in this region (color pixel density) as well a
s the mean color value. The mean color value was compared to flow velo
cities in a flow phantom. The thyroid and carotid artery in a voluntee
r were repeatedly examined by a single examiner to assess intra-observ
er variability. The thyroids in five healthy controls were examined by
three experienced physicians to assess the extent of inter-observer v
ariability and observer bias. The correlation between the mean color v
alue and flow velocity ranged from 0.94 to 0.96 for a range of velocit
ies determined by pulse repetition frequency. The average deviation of
the mean color value from the flow velocity was 22% to 41%, depending
on the selected pulse repetition frequency (range of deviations, - 46
% to + 66%). Flow velocity was underestimated with inadequately low pu
lse repetition frequency, or inadequately high reject threshold. An ov
erestimation occurred with inadequately high pulse repetition frequenc
y. The highest intra-observer variability was 22% (relative standard d
eviation) for the color pixel density, and 9.1% for the mean color val
ue. The inter-observer variation was approximately 30% for the color p
ixel density, and 20% for the mean color value. In conclusion, compute
r assisted image analysis permits an objective description of color Do
ppler images. However, the user must be aware that image acquisition u
nder in vivo conditions as well as physical and instrumental factors m
ay considerably influence the results. (C) 1995 John Wiley & Sons, Inc
.