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.
| Original language | English |
|---|---|
| Article number | 7482649 |
| Journal | IEEE Transactions on Biomedical Engineering |
| Volume | 63 |
| Issue number | 8 |
| Pages (from-to) | 1563-1572 |
| Number of pages | 10 |
| ISSN | 0018-9294 |
| DOIs | |
| Publication status | Published - 01.08.2016 |
Funding
This work was supported in part by the National Institutes of Health under Grant R03EB012461, Grant R01EB006136, Grant R01EB006193, Grant ViSE/VICTR VR3029, Grant UL1 RR024975-01, Grant UL1 TR000445-06, Grant P30 CA068485, and AUR GE Radiology Research Academic Fellowship. This work was supported in part using the resources of the Advanced Computing Center for Research and Education at Vanderbilt University, Nashville, TN, USA.
