Jch. Wong et al., EVALUATION OF THE LIMITS OF VISUAL DETECTION OF IMAGE MISREGISTRATIONIN A BRAIN F-18 FLUORODEOXYGLUCOSE PET-MRI STUDY, European journal of nuclear medicine, 24(6), 1997, pp. 642-650
In routine clinical work, registration accuracy is assessed by visual
inspection. However, the accuracy of visual assessment of registration
has not been evaluated. This study establishes the limits of visual d
etection of misregistration in a registered brain fluorine-18 fluorode
oxyglucose positron emission tomography to magnetic resonance image vo
lume, The ''best'' registered image volume was obtained by automatic r
egistration using mutual information optimization. Translational movem
ents by 1 mm, 2 mm, 3 mm and 4 mm, and rotational movements by 1 degre
es, 2 degrees, 3 degrees and 4 degrees in the positive and negative di
rections in the x- (lateral), y- (anterior-posterior) and z- (axial) a
xes were introduced to this standard, These 48 images plus six ''best'
' registered images were presented in random sequence to five observer
s for visual categorization of registration accuracy. No observer dete
cted a definite misregistration in the ''best'' registered image. Eval
uation for inter-observer variation using observer pairings showed a h
igh percentage of agreement in assigned categories for both translatio
nal and rotational misregistrations. Assessment of the limits of detec
tion of misregistration showed that a 2-mm translational misregistrati
on was detectable by all observers in the x- and y-axes and 3-mm trans
lational misregistration in the z-axis. With rotational misregistratio
ns, rotation around the z-axis was detectable by all at 2 degrees rota
tion whereas rotation around the y-axis was detected at 3-4 degrees. R
otation around the x-axis was not symmetric with a positive rotation b
eing identified at 2 degrees whereas negative rotation was detected by
all only at 4 degrees. Therefore, visual analysis appears to be a sen
sitive and practical means to assess image misregistration accuracy. T
he awareness of the limits of visual detection of misregistration will
lead to increase care when evaluating registration quality in both re
search and clinical settings.