Local elastic matching and pattern recognition in MR mammography
| Autor: | M. Otte, Jörg Laubenberger, Jürgen Hennig, Claudia Ehritt-Braun, Harald Fischer |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Self-organizing map
medicine.diagnostic_test business.industry Computer science media_common.quotation_subject Magnetic resonance imaging Pattern recognition Electronic Optical and Magnetic Materials Data acquisition Pattern recognition (psychology) medicine Contrast (vision) Mammography Computer vision Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering Elastic matching business Software media_common Mr mammography |
| Zdroj: | International Journal of Imaging Systems and Technology. 10:199-206 |
| ISSN: | 1098-1098 0899-9457 |
| DOI: | 10.1002/(sici)1098-1098(1999)10:2<199::aid-ima10>3.0.co;2-q |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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