Literature DB >> 12872948

Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint.

Torsten Rohlfing1, Calvin R Maurer, David A Bluemke, Michael A Jacobs.   

Abstract

In this paper, we extend a previously reported intensity-based nonrigid registration algorithm by using a novel regularization term to constrain the deformation. Global motion is modeled by a rigid transformation while local motion is described by a free-form deformation based on B-splines. An information theoretic measure, normalized mutual information, is used as an intensity-based image similarity measure. Registration is performed by searching for the deformation that minimizes a cost function consisting of a weighted combination of the image similarity measure and a regularization term. The novel regularization term is a local volume-preservation (incompressibility) constraint, which is motivated by the assumption that soft tissue is incompressible for small deformations and short time periods. The incompressibility constraint is implemented by penalizing deviations of the Jacobian determinant of the deformation from unity. We apply the nonrigid registration algorithm with and without the incompressibility constraint to precontrast and post-contrast magnetic resonance (MR) breast images from 17 patients. Without using a constraint, the volume of contrast-enhancing lesions decreases by 1%-78% (mean 26%). Image improvement (motion artifact reduction) obtained using the new constraint is compared with that obtained using a smoothness constraint based on the bending energy of the coordinate grid by blinded visual assessment of maximum intensity projections of subtraction images. For both constraints, volume preservation improves, and motion artifact correction worsens, as the weight of the constraint penalty term increases. For a given volume change of the contrast-enhancing lesions (2% of the original volume), the incompressibility constraint reduces motion artifacts better than or equal to the smoothness constraint in 13 out of 17 cases (better in 9, equal in 4, worse in 4). The preliminary results suggest that incorporation of the incompressibility regularization term improves intensity-based free-form nonrigid registration of contrast-enhanced MR breast images by greatly reducing the problem of shrinkage of contrast-enhancing structures while simultaneously allowing motion artifacts to be substantially reduced.

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Year:  2003        PMID: 12872948     DOI: 10.1109/TMI.2003.814791

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  67 in total

1.  Incompressible deformation estimation algorithm (IDEA) from tagged MR images.

Authors:  Xiaofeng Liu; Khaled Z Abd-Elmoniem; Maureen Stone; Emi Z Murano; Jiachen Zhuo; Rao P Gullapalli; Jerry L Prince
Journal:  IEEE Trans Med Imaging       Date:  2011-09-19       Impact factor: 10.048

2.  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

3.  Cerebral blood flow in posterior cortical nodes of the default mode network decreases with task engagement but remains higher than in most brain regions.

Authors:  Adolf Pfefferbaum; Sandra Chanraud; Anne-Lise Pitel; Eva Müller-Oehring; Ajit Shankaranarayanan; David C Alsop; Torsten Rohlfing; Edith V Sullivan
Journal:  Cereb Cortex       Date:  2010-05-19       Impact factor: 5.357

4.  Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study.

Authors:  Kilian M Pohl; Edith V Sullivan; Torsten Rohlfing; Weiwei Chu; Dongjin Kwon; B Nolan Nichols; Yong Zhang; Sandra A Brown; Susan F Tapert; Kevin Cummins; Wesley K Thompson; Ty Brumback; Ian M Colrain; Fiona C Baker; Devin Prouty; Michael D De Bellis; James T Voyvodic; Duncan B Clark; Claudiu Schirda; Bonnie J Nagel; Adolf Pfefferbaum
Journal:  Neuroimage       Date:  2016-02-10       Impact factor: 6.556

5.  Application and assessment of a robust elastic motion correction algorithm to dynamic MRI.

Authors:  K-H Herrmann; S Wurdinger; D R Fischer; I Krumbein; M Schmitt; G Hermosillo; K Chaudhuri; A Krishnan; M Salganicoff; W A Kaiser; J R Reichenbach
Journal:  Eur Radiol       Date:  2006-04-13       Impact factor: 5.315

6.  A nonrigid registration of MR breast images using complex-valued wavelet transform.

Authors:  L Mainardi; K M Passera; A Lucesoli; D Vergnaghi; G Trecate; E Setti; R Musumeci; S Cerutti
Journal:  J Digit Imaging       Date:  2008-03       Impact factor: 4.056

7.  Image registration for quantitative parametric response mapping of cancer treatment response.

Authors:  Jennifer L Boes; Benjamin A Hoff; Nola Hylton; Martin D Pickles; Lindsay W Turnbull; Anne F Schott; Alnawaz Rehemtulla; Ryan Chamberlain; Benjamin Lemasson; Thomas L Chenevert; Craig J Galbán; Charles R Meyer; Brian D Ross
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

8.  Ultrasound 2D Strain Estimator Based on Image Registration for Ultrasound Elastography.

Authors:  Xiaofeng Yang; Mylin Torres; Stephanie Kirkpatrick; Walter J Curran; Tian Liu
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-20

9.  On the prospect of patient-specific biomechanics without patient-specific properties of tissues.

Authors:  Karol Miller; Jia Lu
Journal:  J Mech Behav Biomed Mater       Date:  2013-02-09

10.  The SRI24 multichannel atlas of normal adult human brain structure.

Authors:  Torsten Rohlfing; Natalie M Zahr; Edith V Sullivan; Adolf Pfefferbaum
Journal:  Hum Brain Mapp       Date:  2010-05       Impact factor: 5.038

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