by Jhimli Mitra, Zoltan Kato, Robert Marti, Arnau Oliver, Xavier Llado, Desire Sidibe, Soumya Ghose, Joan C. Vilanova, Josep Comet, Fabrice Meriaudeau
Abstract:
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 ± 0.48 mm and mean target registration and target localization errors of 1.60 ± 1.17 mm and 0.15 ± 0.12 mm respectively.
Reference:
Jhimli Mitra, Zoltan Kato, Robert Marti, Arnau Oliver, Xavier Llado, Desire Sidibe, Soumya Ghose, Joan C. Vilanova, Josep Comet, Fabrice Meriaudeau, A spline-based non-linear diffeomorphism for multimodal prostate registration, In Medical Image Analysis, volume 16, no. 6, pp. 1259-1279, 2012.
Bibtex Entry:
@string{mia="Medical Image Analysis"}
@ARTICLE{Mitra-etal2012,
author = {Jhimli Mitra and Zoltan Kato and Robert Marti and Arnau Oliver and
Xavier Llado and Desire Sidibe and Soumya Ghose and Joan C. Vilanova
and Josep Comet and Fabrice Meriaudeau},
title = {A spline-based non-linear diffeomorphism for multimodal prostate
registration},
journal = mia,
year = {2012},
volume = {16},
pages = {1259--1279},
number = {6},
month = aug,
abstract = {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 ± 0.48 mm and mean
target registration and target localization errors of 1.60 ± 1.17
mm and 0.15 ± 0.12 mm respectively.}
}