Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.
Title | Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. |
Publication Type | Journal Article |
Year of Publication | 2016 |
Authors | Xu Z., Lee C.P., Heinrich M.P., Modat M., Rueckert D., Ourselin S., Abramson R.G., Landman B.A. |
Journal | IEEE transactions on bio-medical engineering |
Volume | 63 |
Issue | 8 |
Pages | 1563-72 |
Date Published | 2016 Aug |
Publication Language | eng |
ISSN | 1558-2531 |
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. |
DOI | 10.1109/TBME.2016.2574816 |
PubMed Link | |
Alternate Journal | IEEE Trans Biomed Eng |