@article {904,
	title = {Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.},
	journal = {IEEE transactions on bio-medical engineering},
	volume = {63},
	year = {2016},
	month = {2016 Aug},
	pages = {1563-72},
	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.},
	issn = {1558-2531},
	doi = {10.1109/TBME.2016.2574816},
	author = {Xu, Zhoubing and Lee, Christopher P and Heinrich, Mattias P. and Modat, Marc and Rueckert, Daniel and Ourselin, Sebastien and Abramson, Richard G and Landman, Bennett A}
}
