Effect of automated image registration on radiologist interpretation

Bradley J. Erickson, Jayawant Mandrekar, Liqin Wang, Julia W. Patriarche, Brian J. Bartholmai, Christropher P. Wood, E. Paul Lindell, Anne Marie Sykes, Gordon F. Harms, Rebecca M. Lindell, Katherine Andirole

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)105-113
Number of pages9
JournalJournal of Digital Imaging
Volume20
Issue number2
DOIs
StatePublished - Jun 2007

Keywords

  • Image alignment
  • Image registration
  • Practice efficiency
  • TRIP

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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