Literature DB >> 17505869

Effect of automated image registration on radiologist interpretation.

Bradley J Erickson1, 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.   

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.

Mesh:

Year:  2007        PMID: 17505869      PMCID: PMC3043907          DOI: 10.1007/s10278-007-9023-x

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  11 in total

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Journal:  Med Phys       Date:  1997-01       Impact factor: 4.071

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Journal:  IEEE Trans Med Imaging       Date:  1997-04       Impact factor: 10.048

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Authors:  Dawid Schellingerhout; Michael H Lev; Ranjit J Bagga; Sandra Rincon; Dmitri Berdichevsky; Ven Thangaraj; R Gilberto Gonzalez; Nathaniel M Alpert
Journal:  Acad Radiol       Date:  2003-03       Impact factor: 3.173

9.  Detection of subtle brain changes using subvoxel registration and subtraction of serial MR images.

Authors:  J V Hajnal; N Saeed; A Oatridge; E J Williams; I R Young; G M Bydder
Journal:  J Comput Assist Tomogr       Date:  1995 Sep-Oct       Impact factor: 1.826

10.  Image registration and subtraction to detect active T(2) lesions in MS: an interobserver study.

Authors:  I Leng Tan; Ronald A van Schijndel; Franz Fazekas; Massimo Filippi; Peter Freitag; David H Miller; Tarek A Yousry; Petra J W Pouwels; Herman J Adèr; Frederik Barkhof
Journal:  J Neurol       Date:  2002-06       Impact factor: 4.849

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  3 in total

1.  Synchronized navigation of current and prior studies using image registration improves radiologist's efficiency.

Authors:  Daniel Forsberg; Amit Gupta; Christopher Mills; Brett MacAdam; Beverly Rosipko; Barbara A Bangert; Michael D Coffey; Christos Kosmas; Jeffrey L Sunshine
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-11-26       Impact factor: 2.924

2.  Optimal presentation modes for detecting brain tumor progression.

Authors:  B J Erickson; C P Wood; T J Kaufmann; J W Patriarche; J Mandrekar
Journal:  AJNR Am J Neuroradiol       Date:  2011-08-18       Impact factor: 3.825

3.  Value of T1/T2-weighted magnetic resonance imaging registration to reduce the postbiopsy hemorrhage effect for prostate cancer localization.

Authors:  Ja Yeon You; Hak Jong Lee; Sung Il Hwang; Yun Jung Bae; Hannah Kim; Helen Hong; Gheeyoung Choe
Journal:  Prostate Int       Date:  2015-07-17
  3 in total

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