UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

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; (2016) Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE Transactions on Biomedical Engineering , 63 (8) pp. 1563-1572. 10.1109/TBME.2016.2574816. Green open access

[thumbnail of Modat_TBME-01460-2015.R2-preprint.pdf]
Preview
Text
Modat_TBME-01460-2015.R2-preprint.pdf

Download (2MB) | Preview

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.

Type: Article
Title: Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TBME.2016.2574816
Publisher version: http://dx.doi.org/10.1109/TBME.2016.2574816
Language: English
Additional information: Copyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: image registration, abdomen, computed tomography (CT), measurement, biomedical imaging, glands
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1501854
Downloads since deposit
88,464Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item