Literature DB >> 16641418

Feasibility of automated matching of supine and prone CT-colonography examinations.

A H de Vries1, R Truyen, J van der Peijl, J Florie, R E van Gelder, F Gerritsen, J Stoker.   

Abstract

Matching of prone and supine positions in CT colonography may improve accuracy of polyp detection. The purpose of this study was to investigate the feasibility of automatic prone-supine matching in CT-colonography using proven polyps as fixed points of reference. The method is based on similarities in the direction of centre-lines and allows for compression and extraction of the centre-lines in both positions. To illustrate the impact of the match error of the new method in practice, the visibility of the matched polyps in a primary three-dimensional unfolded cube setting was determined as well. The method was compared with a method that relies on the normalized distance along the centre-line (NDAC method). The median absolute match error was 14 mm (range 0-59 mm, average 20 mm) either proximal or distal from the actual polyp in prone position. In the observer study, 70% (26/37) of the polyps were directly visible in prone view. The overall difference in median absolute match error between both methods was small (2 mm), although half way along the centre-line there were polyps with substantial differences in match error (larger with NDAC). We concluded that automated prone-supine matching of CT-colonography studies is feasible and has a low match error. The difference with the NDAC method was small and not significant, although half way along the centre-line some differences were seen.

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Mesh:

Year:  2006        PMID: 16641418     DOI: 10.1259/bjr/55953054

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  4 in total

1.  Supine and prone colon registration using quasi-conformal mapping.

Authors:  Wei Zeng; Joseph Marino; Krishna Chaitanya Gurijala; Xianfeng Gu; Arie Kaufman
Journal:  IEEE Trans Vis Comput Graph       Date:  2010 Nov-Dec       Impact factor: 4.579

2.  Corresponding Supine and Prone Colon Visualization Using Eigenfunction Analysis and Fold Modeling.

Authors:  Saad Nadeem; Joseph Marino; Xianfeng Gu; Arie Kaufman
Journal:  IEEE Trans Vis Comput Graph       Date:  2017-01       Impact factor: 4.579

3.  Normalized distance along the colon centerline: a method for correlating polyp location on CT colonography and optical colonoscopy.

Authors:  Ronald M Summers; Jeffrey A Swift; Andrew J Dwyer; J Richard Choi; Perry J Pickhardt
Journal:  AJR Am J Roentgenol       Date:  2009-11       Impact factor: 3.959

4.  Haustral loop extraction for CT colonography using geodesics.

Authors:  Yongkai Liu; Chaijie Duan; Jerome Liang; Jing Hu; Hongbing Lu; Mingyue Luo
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-11-16       Impact factor: 2.924

  4 in total

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