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
Conference or Workshop Item, Bibliographie
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2013 |
| Creators: | Drechsler, Klaus ; Meixner, Steven ; Oyarzun Laura, Cristina ; Wesarg, Stefan |
| Type of entry: | Bibliographie |
| Title: | A Framework for Validation of Vessel Segmentation Algorithms |
| Language: | English |
| Date: | 2013 |
| Publisher: | IEEE, Inc., New York |
| Event Title: | Proceedings of CBMS 2013 |
| DOI: | 10.1109/CBMS.2013.6627857 |
| 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. |
| Uncontrolled Keywords: | Business Field: Visual decision support, Research Area: Confluence of graphics and vision, Segmentation, Vessel segmentation, Evaluation, Validation |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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