MammoExplorer: An Advanced CAD Application for Breast DCE-MRI

Ernesto Coto, Sören Grimm, Stefan Bruckner, Meister Eduard Gröller, Armin Kanitsar, Omaira Rodriguez
MammoExplorer: An Advanced CAD Application for Breast DCE-MRI
In Proceedings of Vision, Modelling, and Visualization 2005, pages 91-98. November 2005.
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Also available in TR-186-2-05-02.

Abstract

Currently X-ray mammography is the most widely used method for early detection of breast cancer. However, the use of Dynamic Contrast Enhanced MRI (DCE-MRI) has gained wider attention, since it considerably improves tumor detection and classification by analyzing the flow of contrast agent within the breast tissue. In this paper we present MammoExplorer, a CAD application that combines advanced interaction, segmentation and visualization techniques to explore Breast DCE-MRI data. Our application uses Brushing and Linking, Two-level Volume Rendering, Importance-driven Volume Rendering, and False Color Maps. In addition, we present Enhancement Scatterplots, a novel graphical representation of DCE-MRI data, novel segmentation approaches, and a new way to explore time-varying CE-MRI data.

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@inproceedings{coto-2005-MAC,
  title =      "MammoExplorer: An Advanced CAD Application for Breast
               DCE-MRI",
  author =     "Ernesto Coto and S{\"o}ren Grimm and Stefan Bruckner and
               Meister Eduard Gr{\"o}ller and Armin Kanitsar and Omaira
               Rodriguez",
  year =       "2005",
  abstract =   "Currently X-ray mammography is the most widely used method
               for early detection of breast cancer. However, the use of
               Dynamic Contrast Enhanced MRI (DCE-MRI) has gained wider
               attention, since it considerably improves tumor detection
               and classification by analyzing the flow of contrast agent
               within the breast tissue. In this paper we present
               MammoExplorer, a CAD application that combines advanced
               interaction, segmentation and visualization techniques to
               explore Breast DCE-MRI data. Our application uses Brushing
               and Linking, Two-level Volume Rendering, Importance-driven
               Volume Rendering, and False Color Maps. In addition, we
               present Enhancement Scatterplots, a novel graphical
               representation of DCE-MRI data, novel segmentation
               approaches, and a new way to explore time-varying CE-MRI
               data.",
  pages =      "91--98",
  month =      nov,
  booktitle =  "Proceedings of Vision, Modelling, and Visualization 2005",
  editor =     "G. Greiner, J. Hornegger, H. Niemann, M. Stamminger",
  isbn =       "3898380688",
  location =   "Erlangen, Germany",
  keywords =   "CAD, Breast cancer, Contrast Enhanced MRI",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/",
}