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- Title
Local elastic matching and pattern recognition in MR mammography.
- Authors
Fischer, Harald; Otte, Matthias; Ehritt-braun, Claudia; Laubenberger, Jörg; Hennig, Jörgen
- Abstract
Contrast agent-enhanced magnetic resonance (MR) mammography is a highly sensitive method in breast cancer detection. The inflow of contrast agent is tracked to classify tissue as malignant or benign. In this article, we introduce approaches to overcome two of the most prominent problems in MR mammography: (a) variability in contrast agent dynamics, and (b) motion of the patient during data acquisition. The variability of contrast agent dynamics is considered using data-driven analysis based on self-organizing maps. Motion during data acquisition is handled by means of a fast local elastic matching algorithm. © 1999 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 10, 199–206, 1999
- Subjects
MAMMOGRAMS; CANCER diagnosis; MAGNETIC resonance imaging; DIAGNOSTIC imaging; MEDICAL imaging systems; NONINVASIVE diagnostic tests
- Publication
International Journal of Imaging Systems & Technology, 1999, Vol 10, Issue 2, p199
- ISSN
0899-9457
- Publication type
Article
- DOI
10.1002/(SICI)1098-1098(1999)10:2<199::AID-IMA10>3.0.CO;2-Q