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Anatomical Discovery: Finding Organs in the Neighborhood of the Liver

Oyarzun Laura, Cristina ; Drechsler, Klaus ; Wesarg, Stefan (2014)
Anatomical Discovery: Finding Organs in the Neighborhood of the Liver.
XIII Mediterranean Conference on Medical and Biological Engineering and Computing.
doi: 10.1007/978-3-319-00846-2_86
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Image segmentation and registration algorithms are fundamental to assist medical doctors for better treatment of the patients. To this end accuracy in the results given by those algorithms is crucial. The surroundings of the organ to be segmented or registered can provide additional information that at the end improves the result. In this paper a novel algorithm to detect the organs that surround the liver is introduced. Even though our work is focused on the liver, the algorithm could be extended to other parts of the body. The algorithm has been tested in 24 clinical CT datasets. In addition to this, an example application is introduced for which the detection is a useful tool.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2014
Autor(en): Oyarzun Laura, Cristina ; Drechsler, Klaus ; Wesarg, Stefan
Art des Eintrags: Bibliographie
Titel: Anatomical Discovery: Finding Organs in the Neighborhood of the Liver
Sprache: Englisch
Publikationsjahr: 2014
Verlag: Springer, Berlin, Heidelberg, New York
Reihe: IFMBE Proceedings; 41
Veranstaltungstitel: XIII Mediterranean Conference on Medical and Biological Engineering and Computing
DOI: 10.1007/978-3-319-00846-2_86
Kurzbeschreibung (Abstract):

Image segmentation and registration algorithms are fundamental to assist medical doctors for better treatment of the patients. To this end accuracy in the results given by those algorithms is crucial. The surroundings of the organ to be segmented or registered can provide additional information that at the end improves the result. In this paper a novel algorithm to detect the organs that surround the liver is introduced. Even though our work is focused on the liver, the algorithm could be extended to other parts of the body. The algorithm has been tested in 24 clinical CT datasets. In addition to this, an example application is introduced for which the detection is a useful tool.

Freie Schlagworte: Business Field: Visual decision support, Research Area: Computer vision (CV), Medical imaging, Detection, Registration, Liver
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
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