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MammoExplorer: An Advanced CAD Application for Breast DCE-MRI

Ernesto Coto, Sören Grimm, Stefan Bruckner, M. Eduard Gröller, Armin Kanitsar, Omaira Rodriguez

CONFERENCE PAPER: In Proceedings of VMV 2005, pp. 91–98, 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.

Published

Proceedings of VMV 2005

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BibTeX

@INPROCEEDINGS{Coto-2005-MAC,
  author = {Ernesto Coto and S{\"o}ren Grimm and Stefan Bruckner and M.
	Eduard Gr{\"o}ller and Armin Kanitsar and Omaira Rodriguez},
  title = {MammoExplorer: An Advanced {CAD} Application for Breast {DC}E-{MRI}},
  booktitle = {Proceedings of VMV 2005},
  year = {2005},
  editor = {G. Greiner, J. Hornegger, H. Niemann, M. Stamminger},
  pages = {91--98},
  month = nov,
  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.},
  isbn = {3898380688},
  keywords = {CAD, breast cancer, contrast enhanced MRI},
  location = {Erlangen, Germany},
  url = {http://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/}
}






 Last Modified: Stefan Bruckner, 2014-08-15