Drechsler, Klaus ; Meixner, Steven ; Oyarzun Laura, Cristina ; Wesarg, Stefan (2013)
A Framework for Validation of Vessel Segmentation Algorithms.
Proceedings of CBMS 2013.
doi: 10.1109/CBMS.2013.6627857
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Validation methods used in literature to evaluate vessel segmentation algorithms suffer to a great extent from objectiveness, reliability and reproducibility. This is because almost each group has its own way to evaluate an algorithms. In this paper, an extendable standardized evaluation framework for quantitative validation of vessel segmentation algorithms is presented. As ground-truth, it uses a physical vascular model to simulate the growth of vessels within organ masks extracted from clinical CT datasets. A set of image- and graph- based evaluation metrics are calculated to analyze various aspects of the algorithms under study. Using the proposed framework helps to meet the aforementioned quality criteria.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Drechsler, Klaus ; Meixner, Steven ; Oyarzun Laura, Cristina ; Wesarg, Stefan |
| Art des Eintrags: | Bibliographie |
| Titel: | A Framework for Validation of Vessel Segmentation Algorithms |
| Sprache: | Englisch |
| Publikationsjahr: | 2013 |
| Verlag: | IEEE, Inc., New York |
| Veranstaltungstitel: | Proceedings of CBMS 2013 |
| DOI: | 10.1109/CBMS.2013.6627857 |
| Kurzbeschreibung (Abstract): | Validation methods used in literature to evaluate vessel segmentation algorithms suffer to a great extent from objectiveness, reliability and reproducibility. This is because almost each group has its own way to evaluate an algorithms. In this paper, an extendable standardized evaluation framework for quantitative validation of vessel segmentation algorithms is presented. As ground-truth, it uses a physical vascular model to simulate the growth of vessels within organ masks extracted from clinical CT datasets. A set of image- and graph- based evaluation metrics are calculated to analyze various aspects of the algorithms under study. Using the proposed framework helps to meet the aforementioned quality criteria. |
| Freie Schlagworte: | Business Field: Visual decision support, Research Area: Confluence of graphics and vision, Segmentation, Vessel segmentation, Evaluation, Validation |
| 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