Several different algorithms have been reported for measurement of blood fl
ow rates and velocities from digital x-ray angiograms. We compare four vide
odensitometric methods: (1) distance-density curve matching (DDCM), (2) dis
tance-density curve matching with curve-fitting (DDCM-F), (3) bolus mass tr
acking with curve-fitting (BMT-F) and (4) fluid continuity method (FCM). We
tested the flow algorithms with simulated angiograms and with images obtai
ned from a programmable Bow phantom under clinically realistic flow and con
trast injection conditions including imperfect mixing. All methods perform
well for simulated angiograms. On phantom angiograms with constant flow, al
l methods tended to underestimate flow velocities by at least 7% and demons
trate high variability between consecutive measurements. The FCM demonstrat
ed relatively low variability, but a large negative bias. The DDCM method w
as moderately biased and had the highest variability. The BMT-F method demo
nstrated the lowest bias (-7.1%) and the lowest variability both within (27
%) and between (27%) studies. No method yields reliable measurements near t
he peak contrast opacification, when little or no gradient of contrast is p
resent. The extrapolating version of the BMT-F method was also the most rob
ust for estimation of interframe displacements longer than the field of vie
w. (C) 1999 American Association of Physicists in Medicine.