02356nas a2200253   4500008004100000020001400041245008300055210006900138260001300207300001600220490000700236520154200243100001801785700001701803700001901820700001801839700001901857700001901876700001801895700002101913700001701934700002401951856012701975       2012                        eng d  a1361-841500aA spline-based non-linear diffeomorphism for multimodal prostate registration.0 asplinebased nonlinear diffeomorphism for multimodal prostate reg  cAug 2012  a1259 - 12790 v163 a<p>This paper presents a novel method for non-rigid registration of transrectal ultrasound and magnetic resonance prostate images based on a non-linear regularized framework of point correspondences obtained from a statistical measure of shape-contexts. The segmented prostate shapes are represented by shape-contexts and the Bhattacharyya distance between the shape representations is used to find the point correspondences between the 2D fixed and moving images. The registration method involves parametric estimation of the non-linear diffeomorphism between the multimodal images and has its basis in solving a set of non-linear equations of thin-plate splines. The solution is obtained as the least-squares solution of an over-determined system of non-linear equations constructed by integrating a set of non-linear functions over the fixed and moving images. However, this may not result in clinically acceptable transformations of the anatomical targets. Therefore, the regularized bending energy of the thin-plate splines along with the localization error of established correspondences should be included in the system of equations. The registration accuracies of the proposed method are evaluated in 20 pairs of prostate mid-gland ultrasound and magnetic resonance images. The results obtained in terms of Dice similarity coefficient show an average of 0.980+/-0.004, average 95% Hausdorff distance of 1.63+/-0.48mm and mean target registration and target localization errors of 1.60+/-1.17mm and 0.15+/-0.12mm respectively.</p>1 aMitra, Jhimli1 aKato, Zoltan1 aMartí, Robert1 aArnau, Oliver1 aLladó, Xavier1 aSidibe, Desire1 aGhose, Soumya1 aVilanova, Joan C1 aComet, Josep1 aMeriaudeau, Fabrice  uhttps://tisat.inf.u-szeged.hu/en/publication/a-spline-based-non-linear-diffeomorphism-for-multimodal-prostate-registration