A framework for validation of vessel segmentation algorithms

Klaus Drechsler; Steven Meixner; Cristina Oyarzun Laura; Stefan Wesarg

doi:10.1109/CBMS.2013.6627857

A framework for validation of vessel segmentation algorithms

Klaus Drechsler, Steven Meixner, Cristina Oyarzun Laura, Stefan Wesarg

Cognitive Computing and Medical Imaging

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems
Pages	518-519
Number of pages	2
DOIs	https://doi.org/10.1109/CBMS.2013.6627857
State	Published - 2013
Externally published	Yes
Event	26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013 - Porto, Portugal Duration: 20 Jun 2013 → 22 Jun 2013

Publication series

Name	Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems

Conference

Conference	26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013
Country/Territory	Portugal
City	Porto
Period	20/06/13 → 22/06/13

Access to Document

10.1109/CBMS.2013.6627857

Cite this

Drechsler, K., Meixner, S., Laura, C. O., & Wesarg, S. (2013). A framework for validation of vessel segmentation algorithms. In Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems (pp. 518-519). Article 6627857 (Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2013.6627857

@inproceedings{e5d784c95d524289b802dc1829c1d60a,

title = "A framework for validation of vessel segmentation algorithms",

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.",

author = "Klaus Drechsler and Steven Meixner and Laura, {Cristina Oyarzun} and Stefan Wesarg",

year = "2013",

doi = "10.1109/CBMS.2013.6627857",

language = "English",

isbn = "9781479910533",

series = "Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems",

pages = "518--519",

booktitle = "Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems",

note = "26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013 ; Conference date: 20-06-2013 Through 22-06-2013",

}

Drechsler, K, Meixner, S, Laura, CO & Wesarg, S 2013, A framework for validation of vessel segmentation algorithms. in Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems., 6627857, Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems, pp. 518-519, 26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013, Porto, Portugal, 20/06/13. https://doi.org/10.1109/CBMS.2013.6627857

A framework for validation of vessel segmentation algorithms. / Drechsler, Klaus; Meixner, Steven; Laura, Cristina Oyarzun et al.
Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems. 2013. p. 518-519 6627857 (Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A framework for validation of vessel segmentation algorithms

AU - Drechsler, Klaus

AU - Meixner, Steven

AU - Laura, Cristina Oyarzun

AU - Wesarg, Stefan

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

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U2 - 10.1109/CBMS.2013.6627857

DO - 10.1109/CBMS.2013.6627857

M3 - Conference contribution

AN - SCOPUS:84889034228

SN - 9781479910533

T3 - Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems

SP - 518

EP - 519

BT - Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems

T2 - 26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013

Y2 - 20 June 2013 through 22 June 2013

ER -

A framework for validation of vessel segmentation algorithms

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