Effect of automated image registration on radiologist interpretation.
In this study, we present preliminary data on the effect of automated 3D image alignment on the time to arrive at a decision about an imaging finding, the agreement of multiple of multiple observers, the prevalence of comparison examinations, and technical success rates for the image alignment algorithm. We found that automated image alignment reduced the average time to make a decision by 25% for cases where the structures are rigid, and when the scanning protocol is similar. For cases where these are not true, there is little or no benefit. In our practice, 54% of cases had prior examinations that could be automatically aligned. The overall benefit seen in our department for highly similar exams might be 20% for neuro and 10% for body; the benefit seen in other practices is likely to vary based on scanning practices and prevalence of prior examinations.
Erickson
Bradley J
BJ
Department Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA. bje@mayo.edu
Mandrekar
Jayawant
J
Wang
Liqin
L
Patriarche
Julia W
JW
Bartholmai
Brian J
BJ
Wood
Christropher P
CP
Lindell
E Paul
EP
Sykes
Anne-Marie
AM
Harms
Gordon F
GF
Lindell
Rebecca M
RM
Andirole
Katherine
K
D000465:Algorithms; D003626:Data Display; D003657:Decision Making; D003952:Diagnostic Imaging; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging; D011871:Radiology; D011873:Radiology Information Systems; D013997:Time Factors; D014057:Tomography, X-Ray Computed