Automated multimodal breast CAD based on registration of MRI and two view mammography
Computer aided diagnosis (CAD) of breast cancer is mainly focused on monomodal applications. Here we present a fully automated multimodal CAD, which uses patient-specific image registration of MRI and two-view X-ray mammography. The image registration estimates the spatial correspondence between eac...
Gespeichert in:
| Hauptverfasser: | , , |
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| Dokumenttyp: | Kapitel/Artikel Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
2017
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| In: |
Deep learning in medical image analysis and multimodal learning for clinical decision support
Year: 2017, Pages: 365-372 |
| DOI: | 10.1007/978-3-319-67558-9_42 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1007/978-3-319-67558-9_42
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| Verfasserangaben: | T. Hopp, P. Cotic Smole, N.V. Ruiter |
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| 520 | |a Computer aided diagnosis (CAD) of breast cancer is mainly focused on monomodal applications. Here we present a fully automated multimodal CAD, which uses patient-specific image registration of MRI and two-view X-ray mammography. The image registration estimates the spatial correspondence between each voxel in the MRI and each pixel in cranio-caudal and mediolateral-oblique mammograms. Thereby we can combine features from both modalities. As a proof of concept we classify fixed regions of interest (ROI) into normal and suspect tissue. We investigate the classification performance of the multimodal classification in several setups against a classification with MRI features only. The average sensitivity of detecting suspect ROIs improves by approximately 2% when combining MRI with both mammographic views compared to MRI-only detection, while the specificity stays at a constant level. We conclude that automatically combining MRI and X-ray can enhance the result of a breast CAD system. | ||
| 650 | 4 | |a Computer aided diagnosis | |
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| 650 | 4 | |a Multimodal image registration | |
| 650 | 4 | |a X-ray mammography | |
| 700 | 1 | |a Cotič Smole, Patricia |e VerfasserIn |0 (DE-588)1166277224 |0 (DE-627)1030289131 |0 (DE-576)510706568 |4 aut | |
| 700 | 1 | |a Ruiter, Nicole |e VerfasserIn |0 (DE-588)1116300125 |0 (DE-627)870261177 |0 (DE-576)478265263 |4 aut | |
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