Improved computer-aided diagnosis for breast lesions detection in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics
| Autor: | Bernhard Burgeth, Anke Meyer-Bäse, Claudia Plant, Felix Retter, Thomas Schlossbauer |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Motion compensation
medicine.diagnostic_test business.industry Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image registration Magnetic resonance imaging Naive Bayes classifier ComputingMethodologies_PATTERNRECOGNITION Computer-aided diagnosis medicine Breast MRI Computer vision Artificial intelligence business |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.884625 |
| Popis: | Motion-based artifacts lead in breast MRI to diagnostic misinterpretation and therefore represents an important prerequisite to automatic lesion detection and diagnosis. In the present paper, we evaluate the performance of a computer-aided diagnosis (CAD) system consisting of motion correction, lesion segmentation, feature extraction and classification. Many novel feature extraction techniques are proposed and tested in conjunction with motion correction and classification. Our simulation results have shown that motion compensation combined with Minkowsi functionals and Bayesian classifier can improve the lesion detection and classification. |
| Databáze: | OpenAIRE |
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