Comparison of methods for current-to-prior registration of breast DCE-MRI

Yago Diez, Albert Gubern-Mérida, Lei Wang, Susanne Diekmann, Joan Martí, Bram Platel, Johanna Kramme, Robert Martí

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


The use of prior studies to complement the information in Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) can help to reduce the currently high false positive ratios. Registration is a fundamental part of this process, as registration algorithms provide automatic correspondences between current and prior studies. The deformable nature of the breast and differences in acquisition protocols make this a particularly challenging problem. In this paper we study three registration algorithms (Affine, SyN and Demons) applied to DCE-MRI images obtained from clinical practice. The methodology followed for this study included using segmentation algorithms in order to focus on the area of the breast. Anatomical landmarks were also added by an expert for evaluation purposes. This allowed us to use an anatomical-landmark-based measure in order to evaluate the quality of registration. Additionally, an image metric was also used for the same purpose. Results, shown to be statistically significant indicate how SyN obtains the best results in terms of the two measures considered.

Original languageEnglish
Title of host publicationBreast Imaging - 12th International Workshop, IWDM 2014, Proceedings
PublisherSpringer Verlag
Number of pages7
ISBN (Print)9783319078861
Publication statusPublished - 2014 Jan 1
Event12th International Workshop on Breast Imaging, IWDM 2014 - Gifu City, Japan
Duration: 2014 Jun 292014 Jul 2

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8539 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other12th International Workshop on Breast Imaging, IWDM 2014
CityGifu City

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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