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Simulation of mammographic breast compression in 3D MR images using ICP-based B-spline deformation for multimodality breast cancer diagnosis

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

   Multimodality mammography using conventional 2D mammography and dynamic contrast-enhanced 3D magnetic resonance imaging (DCE-MRI) is frequently performed for breast cancer detection and diagnosis. Combination of both imaging modalities requires superimposition of corresponding structures in mammograms and MR images. This task is challenging due to large differences in (1) dimensionality and spatial resolution, (2) variations in tissue contrast, as well as (3) differences in breast orientation and deformation during the image acquisition. A new method for multimodality breast image registration was developed and tested.

Methods

   Combined diagnosis of mammograms and MRI datasets was achieved by simulation of mammographic breast compression to overcome large differences in breast deformation. Surface information was extracted from the 3D MR image, and back-projection of the 2D breast contour in the mammogram was done. B-spline-based 3D/3D surface-based registration was then used to approximate mammographic breast compression. This breast deformation simulation was performed on 14 MRI datasets with 19 corresponding mammograms. The results were evaluated by comparison with distances between corresponding structures identified by an expert observer.

Results

   The evaluation revealed an average distance of 6.46 mm between corresponding structures, when an optimized initial alignment between both image datasets is performed. Without the optimization, the accuracy is 9.12 mm.

Conclusion

   A new surface-based method that approximates the mammographic deformation due to breast compression without using a specific complex model needed for finite-element-based methods was developed and tested with favorable results. The simulated compression can serve as foundation for a point-to-line correspondence between 2D mammograms and 3D MR image data.

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Acknowledgments

Julia Krüger, Jan Ehrhardt, Bischof Arpad, and Heinz Handels declare that they have no conflict of interest. Informed consent was obtained from all patients for being included in the study.

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Authors and Affiliations

  1. Institute of Medical Informatics, University of Lübeck, Lübeck, Germany

    Julia Krüger, Jan Ehrhardt & Heinz Handels

  2. Department of Radiology and Nuclear Medicine, University Medical Center Schleswig-Holstein, Lübeck, Germany

    Arpad Bischof

Authors
  1. Julia Krüger
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  2. Jan Ehrhardt
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  3. Arpad Bischof
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  4. Heinz Handels
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Correspondence to Julia Krüger.

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Krüger, J., Ehrhardt, J., Bischof, A. et al. Simulation of mammographic breast compression in 3D MR images using ICP-based B-spline deformation for multimodality breast cancer diagnosis. Int J CARS 9, 367–377 (2014). https://doi.org/10.1007/s11548-014-0976-1

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  • DOI: https://doi.org/10.1007/s11548-014-0976-1

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