@string{dicta="Proceedings of International Conference on Digital Image Computing: Techniques and Applications"}
@INPROCEEDINGS{Mitra-etal2011,
  author = {Jhimli Mitra and Zoltan Kato and Robert Marti and Arnau Oliver and
	Xavier Llado and Soumya Ghose and Joan C. Vilanova and Fabrice Meriaudeau},
  title = {A Non-linear Diffeomorphic Framework for Prostate Multimodal Registration},
  booktitle = dicta,
  year = {2011},
  pages = {31--36},
  address = {Noosa, Queensland, Australia},
  month = dec,
  publisher = {IEEE},
  abstract = {This paper presents a novel method for non-rigid registration of prostate
	multimodal images based on a nonlinear framework. The parametric
	estimation of the non-linear diffeomorphism between the 2D fixed
	and moving images has its basis in solving a set of non-linear equations
	of thin-plate splines. The regularized bending energy of the thin-plate
	splines along with the localization error of established correspondences
	is jointly minimized with the fixed and transformed image difference;
	where, the transformed image is represented by the set of non-linear
	equations defined over the moving image. The traditional thin-plate
	splines with established correspondences may provide good registration
	of the anatomical targets inside the prostate but may fail to provide
	improved contour registration. On the contrary, the proposed framework
	maintains the accuracy of registration in terms of overlap due to
	the non-linear thinplate spline functions while also producing smooth
	deformations of the anatomical structures inside the prostate as
	a result of established corrspondences. The registration accuracies
	of the proposed method are evaluated in 20 pairs of prostate midgland
	ultrasound and magnetic resonance images in terms of Dice similarity
	coefficient with an average of 0.982 ± 0.004, average 95\% Hausdorff
	distance of 1.54 ± 0.46 mm and mean target registration and target
	localization errors of 1.90±1.27 mm and 0.15 ± 0.12 mm respectively.},
  pdf = {papers/dicta2011.pdf}
}