Multimodal MRI-based tissue classification in breast ductal carcinoma

C. Andrés Méndez, Francesca Pizzorni Ferrarese, Paul Summers, Giuseppe Petralia, Massimo Bellomi, Gloria Menegaz

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

Abstract

In this paper we propose a pipeline to integrate breast diffusion and perfusion MRI for diagnosis, surgical planning and follow-up. Dynamic contrast enhanced (DCE) and diffusion weighted (DWI) MRI provide complementary information on the tissue structure and properties: while DCE-MRI allows the characterization of the lesion angiogenesis, DWI techniques can probe the apparent diffusion coefficient (ADC) and therefore assess the nature and cellularity of the lesions. Here we propose a two-step process for the integration of these modalities. First, dissimilarity-based clustering is performed on DCE-MRI to identify the different tumoral subregions. These are then mapped onto the DWI images following inter-modal registration. The probability density functions (PDFs) of the so-identified subregions in the ADC map are extracted and compared through non-parametric testing. Results show that subregions corresponding to different clusters hold statistically different PDFs, indicating a degree of consistency in the information obtained from the two modalities while providing a posterior validation of the registration method. This enables the efficient integration of the information brought by DCE and DWI, respectively, while taking advantage of their complementarity.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Biomedical Imaging
Pages142-145
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: May 2 2012May 5 2012

Other

Other2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
CountrySpain
CityBarcelona
Period5/2/125/5/12

Keywords

  • diffusion MRI
  • dissimilarity-based clustering
  • dynamic contrast enhanced MRI
  • multimodal registration

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Méndez, C. A., Ferrarese, F. P., Summers, P., Petralia, G., Bellomi, M., & Menegaz, G. (2012). Multimodal MRI-based tissue classification in breast ductal carcinoma. In Proceedings - International Symposium on Biomedical Imaging (pp. 142-145). [6235504] https://doi.org/10.1109/ISBI.2012.6235504