Literature DB >> 11099216

Comparison of rigid and elastic matching of dynamic magnetic resonance mammographic images by mutual information.

T Brückner1, R Lucht, G Brix.   

Abstract

The present study aims at (i) the evaluation of the performance of a rigid and of an elastic matching algorithm for the coregistration of dynamic magnetic resonance (MR) images visualizing the female breast, and (ii) the evaluation of the mutual information (MI) as a matching criterion. To this end, ten patient data sets were analyzed. The comparison was performed with respect to the achieved increase in the MI and by visual inspection of the dynamic image series in a continuous film sequence ((cine mode). In most cases, the achieved increase in MI by elastic image registration is much higher than that achieved by rigid registration. Only for three of the ten data sets could the MI be increased by rigid image registration to a similar or even larger degree than by elastic image registration. Taking into account the results of the visual inspection of the rigid and elastic matched data sets, however, the elastic match leads to equal or better results for all data sets. Therefore, elastic matching is the gold standard for the registration of dynamic MR mammographic images of the female breast. The comparison of the increase in MI and the visual inspection further shows that the visual impression agrees in most cases with the result of the calculation of the MI. Therefore, the MI proves to be a suitable matching criterion for the type of data sets studied.

Entities:  

Mesh:

Year:  2000        PMID: 11099216     DOI: 10.1118/1.1288241

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


  6 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.  Information entropy measure for evaluation of image quality.

Authors:  Du-Yih Tsai; Yongbum Lee; Eri Matsuyama
Journal:  J Digit Imaging       Date:  2008-09       Impact factor: 4.056

3.  Accuracy of deformable image registration on magnetic resonance images in digital and physical phantoms.

Authors:  Rachel B Ger; Jinzhong Yang; Yao Ding; Megan C Jacobsen; Clifton D Fuller; Rebecca M Howell; Heng Li; R Jason Stafford; Shouhao Zhou; Laurence E Court
Journal:  Med Phys       Date:  2017-07-18       Impact factor: 4.071

Review 4.  Breast image registration techniques: a survey.

Authors:  Yujun Guo; Radhika Sivaramakrishna; Cheng-Chang Lu; Jasjit S Suri; Swamy Laxminarayan
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

5.  Adapting liver motion models using a navigator channel technique.

Authors:  T N Nguyen; J L Moseley; L A Dawson; D A Jaffray; K K Brock
Journal:  Med Phys       Date:  2009-04       Impact factor: 4.071

6.  Synthetic head and neck and phantom images for determining deformable image registration accuracy in magnetic resonance imaging.

Authors:  Rachel B Ger; Jinzhong Yang; Yao Ding; Megan C Jacobsen; Carlos E Cardenas; Clifton D Fuller; Rebecca M Howell; Heng Li; R Jason Stafford; Shouhao Zhou; Laurence E Court
Journal:  Med Phys       Date:  2018-07-14       Impact factor: 4.071

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.