Literature DB >> 17500454

Quantitative evaluation of free-form deformation registration for dynamic contrast-enhanced MR mammography.

Christine Tanner1, Julia A Schnabel, Derek L G Hill, David J Hawkes, Andreas Degenhard, Martin O Leach, D Rodney Hose, Margaret A Hall-Craggs, Sasha I Usiskin.   

Abstract

In this paper, we present an evaluation study of a set of registration strategies for the alignment of sequences of 3D dynamic contrast-enhanced magnetic resonance breast images. The accuracy of the optimal registration strategies was determined on unseen data. The evaluation is based on the simulation of physically plausible breast deformations using finite element methods and on contrast-enhanced image pairs without visually detectable motion artifacts. The configuration of the finite element model was chosen according to its ability to predict in vivo breast deformations for two volunteers. We computed transformations for ten patients with 12 simulated deformations each. These deformations were applied to the postcontrast image to model patient motion occurring between pre- and postcontrast image acquisition. The original precontrast images were registered to the corresponding deformed postcontrast images. The performance of several registration configurations (rigid, affine, B-spline based nonrigid, single-resolution, multi-resolution, and volume-preserving) was optimized for five of the ten patients. The images were most accurately aligned with volume-preserving single-resolution nonrigid registration employing 40 or 20 mm control point spacing. When tested on the remaining five patients the optimal configurations reduced the average mean registration error from 1.40 to 0.45 mm for the whole breast tissue and from 1.20 to 0.32 mm for the enhancing lesion. These results were obtained on average within 26 (81) min for 40 (20) mm control point spacing. The visual appearance of the difference images from 30 patients was significantly improved after 20 mm volume-preserving single-resolution nonrigid registration in comparison to no registration or rigid registration. No substantial volume changes within the region of the enhancing lesions were introduced by this nonrigid registration.

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Year:  2007        PMID: 17500454     DOI: 10.1118/1.2712040

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

1.  Hierarchical alignment of breast DCE-MR images by groupwise registration and robust feature matching.

Authors:  Minjeong Kim; Guorong Wu; Dinggang Shen
Journal:  Med Phys       Date:  2012-01       Impact factor: 4.071

2.  Deformable Registration for Longitudinal Breast MRI Screening.

Authors:  Hatef Mehrabian; Lara Richmond; Yingli Lu; Anne L Martel
Journal:  J Digit Imaging       Date:  2018-10       Impact factor: 4.056

3.  Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data.

Authors:  Cian M Scannell; Adriana D M Villa; Jack Lee; Marcel Breeuwer; Amedeo Chiribiri
Journal:  IEEE Trans Med Imaging       Date:  2019-02-01       Impact factor: 10.048

4.  Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy.

Authors:  Yangming Ou; Susan P Weinstein; Emily F Conant; Sarah Englander; Xiao Da; Bilwaj Gaonkar; Meng-Kang Hsieh; Mark Rosen; Angela DeMichele; Christos Davatzikos; Despina Kontos
Journal:  Magn Reson Med       Date:  2014-07-15       Impact factor: 4.668

Review 5.  Magnetic resonance imaging: a potential tool in assessing the addition of hyperthermia to neoadjuvant therapy in patients with locally advanced breast cancer.

Authors:  Oana I Craciunescu; Donald E Thrall; Zeljko Vujaskovic; Mark W Dewhirst
Journal:  Int J Hyperthermia       Date:  2010       Impact factor: 3.914

6.  Non-rigid registration of breast surfaces using the laplace and diffusion equations.

Authors:  Rowena E Ong; Jao J Ou; Michael I Miga
Journal:  Biomed Eng Online       Date:  2010-02-12       Impact factor: 2.819

7.  The Effect of Registration on Voxel-Wise Tofts Model Parameters and Uncertainties from DCE-MRI of Early-Stage Breast Cancer Patients Using 3DSlicer.

Authors:  Matthew Mouawad; Heather Biernaski; Muriel Brackstone; Michael Lock; Anat Kornecki; Olga Shmuilovich; Ilanit Ben-Nachum; Frank S Prato; R Terry Thompson; Stewart Gaede; Neil Gelman
Journal:  J Digit Imaging       Date:  2020-08-03       Impact factor: 4.056

8.  The effects of computed tomography image characteristics and knot spacing on the spatial accuracy of B-spline deformable image registration in the head and neck geometry.

Authors:  Charlotte L Brouwer; Roel G J Kierkels; Aart A van 't Veld; Nanna M Sijtsema; Harm Meertens
Journal:  Radiat Oncol       Date:  2014-07-29       Impact factor: 3.481

9.  Liver DCE-MRI Registration in Manifold Space Based on Robust Principal Component Analysis.

Authors:  Qianjin Feng; Yujia Zhou; Xueli Li; Yingjie Mei; Zhentai Lu; Yu Zhang; Yanqiu Feng; Yaqin Liu; Wei Yang; Wufan Chen
Journal:  Sci Rep       Date:  2016-09-29       Impact factor: 4.379

  9 in total

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