Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: November 2005
- ISBN: 3898380688
- Location: Erlangen, Germany
- Lecturer: Ernesto Coto
- Editor: G. Greiner, J. Hornegger, H. Niemann, M. Stamminger
- Booktitle: Proceedings of Vision, Modelling, and Visualization 2005
- Conference date: 16. November 2005
– 18. November 2005
- Pages: 91 – 98
- Keywords: CAD, Breast cancer, Contrast Enhanced MRI
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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BibTeX
@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
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.",
month = nov,
isbn = "3898380688",
location = "Erlangen, Germany",
editor = "G. Greiner, J. Hornegger, H. Niemann, M. Stamminger",
booktitle = "Proceedings of Vision, Modelling, and Visualization 2005",
pages = "91--98",
keywords = "CAD, Breast cancer, Contrast Enhanced MRI",
URL = "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/",
}