کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
444085 692879 2012 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A spline-based non-linear diffeomorphism for multimodal prostate registration
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
پیش نمایش صفحه اول مقاله
A spline-based non-linear diffeomorphism for multimodal prostate registration
چکیده انگلیسی

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.

Figure optionsDownload high-quality image (143 K)Download as PowerPoint slideHighlights
► A deformable registration method is proposed to fuse the MR image with the TRUS image of the prostate.
► A new non-linear diffeomorphic framework based on TPS is used for the multimodal registration.
► Point correspondences for TPS are established based on a statistical measure of shapecontext.
► The non-linear function is constrained by the TPS approximation error and regularization.
► The results of the method are compared with standard TPS and B-splines based registration.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Medical Image Analysis - Volume 16, Issue 6, August 2012, Pages 1259–1279
نویسندگان
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