Evaluation of six registration methods for the human abdomen on clinically acquired CT

Xu Z, Lee CP, Heinrich MP, Modat M, Rueckert D, Ourselin S, Abramson RG, Landman BA (2016)

Publication Type: Journal article

Publication year: 2016

Journal

IEEE Transactions on Biomedical Engineering Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 63

Pages Range: 1563-1572

Article Number: 7482649

Journal Issue: 8

DOI: 10.1109/TBME.2016.2574816

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.

Involved external institutions

Vanderbilt University US United States (USA) (US) Universität zu Lübeck DE Germany (DE) University College London (UCL) GB United Kingdom (GB) Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB)

How to cite

APA:

Xu, Z., Lee, C.P., Heinrich, M.P., Modat, M., Rueckert, D., Ourselin, S.,... Landman, B.A. (2016). Evaluation of six registration methods for the human abdomen on clinically acquired CT. IEEE Transactions on Biomedical Engineering, 63(8), 1563-1572. https://doi.org/10.1109/TBME.2016.2574816

MLA:

Xu, Zhoubing, et al. "Evaluation of six registration methods for the human abdomen on clinically acquired CT." IEEE Transactions on Biomedical Engineering 63.8 (2016): 1563-1572.

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