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MammoExplorer: An Advanced CAD Application for Breast DCE-MRI

E. Coto, S. Grimm, S. Bruckner, M. E. Gröller, A. Kanitsar, and O. Rodriguez

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.

E. Coto, S. Grimm, S. Bruckner, M. E. Gröller, A. Kanitsar, and O. Rodriguez, "MammoExplorer: An Advanced CAD Application for Breast DCE-MRI," in Proceedings of VMV 2005, 2005, p. 91–98.
[BibTeX]

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.
@INPROCEEDINGS {Coto-2005-MAC,
author = "Ernesto Coto and S{\"o}ren Grimm and Stefan Bruckner and Meister 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.",
pdf = "pdfs/Coto-2005-MAC.pdf",
images = "images/Coto-2005-MAC.jpg",
thumbnails = "images/Coto-2005-MAC.png",
youtube = "https://www.youtube.com/watch?v=6XBD1f1y2xs",
affiliation = "tuwien",
isbn = "3898380688",
keywords = "CAD, breast cancer, contrast enhanced MRI",
location = "Erlangen, Germany",
url = "//www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/"
}
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