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Automated breast volume of interest selection by analysing breast-air boundaries in MRI

: Ivanovska, T.; Wang, L.; Völzke, H.; Hegenscheid, K.


Handels, H. ; Univ. Lübeck, Institut für Medizinische Informatik:
Bildverarbeitung für die Medizin 2015 : Algorithmen - Systeme - Anwendungen; Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck; BVM 2015
Berlin: Springer, 2015 (Informatik aktuell)
ISBN: 978-3-662-46223-2 (Print)
ISBN: 978-3-662-46224-9 (Online)
ISBN: 3-662-46223-0
Workshop Bildverarbeitung für die Medizin (BVM) <2015, Lübeck>
Fraunhofer MEVIS ()

The first step in automated breast density estimation is to extract breast volume of interest, namely, the start and end slice numbers from the whole sequence. We evaluated results produced by two radiologists and developed an automatic strategy for the start and end slice detection. The result comparison showed that it is usually more straightforward to find the breast start than the breast end, where the tissue gradually disappears. In general, the results produced by the algorithm are sufficiently accurate, and our solution will be integrated into a fully automatic breast segmentation pipeline.