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 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum