Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.

TitelEvaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.
Publication TypeJournal Article
Year of Publication2016
AuthorsXu Z., Lee C.P., Heinrich M.P., Modat M., Rueckert D., Ourselin S., Abramson R.G., Landman B.A.
JournalIEEE transactions on bio-medical engineering
Volume63
Issue8
Pages1563-72
Date Published2016 Aug
Publication Languageeng
ISSN1558-2531
Abstract

OBJECTIVE: This work evaluates current 3-D image registration tools on clinically acquired abdominal computed tomography (CT) scans.

METHODS: Thirteen abdominal organs were manually labeled on a set of 100 CT images, and the 100 labeled images (i.e., atlases) were pairwise registered based on intensity information with six registration tools (FSL, ANTS-CC, ANTS-QUICK-MI, IRTK, NIFTYREG, and DEEDS). The Dice similarity coefficient (DSC), mean surface distance, and Hausdorff distance were calculated on the registered organs individually. Permutation tests and indifference-zone ranking were performed to examine the statistical and practical significance, respectively.

RESULTS: The results suggest that DEEDS yielded the best registration performance. However, due to the overall low DSC values, and substantial portion of low-performing outliers, great care must be taken when image registration is used for local interpretation of abdominal CT.

CONCLUSION: There is substantial room for improvement in image registration for abdominal CT.

SIGNIFICANCE: All data and source code are available so that innovations in registration can be directly compared with the current generation of tools without excessive duplication of effort.

DOI10.1109/TBME.2016.2574816
PubMed Link

http://www.ncbi.nlm.nih.gov/pubmed/27254856?dopt=Abstract

Alternate JournalIEEE Trans Biomed Eng
Erstellt am 25. Juli 2016 - 17:41. Zuletzt geändert am 21. Februar 2017 - 10:55.

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