Tortuosity of Pulmonary Vessels Correlates with Pulmonary Hypertension

Michael Helmberger; Martin Urschler; Michael Pienn; Zoltan Balint; Andrea Olschewski; Horst Bischof

Tortuosity of Pulmonary Vessels Correlates with Pulmonary Hypertension

Michael Helmberger, Martin Urschler, Michael Pienn, Zoltan Balint, Andrea Olschewski, Horst Bischof

Institute of Computer Graphics and Vision (7100)

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

Abstract

Pulmonary hypertension (PH) is a chronic disorder of the pulmonary circulation, marked by an elevated vascular resistance and pressure. Our objective is to find an automatic, non-invasive method for estimating the pulmonary pressure based on the analysis of lung vessels from contrast enhanced CT images. We present a pulmonary vessel extraction algorithm which is fast, fully automatic and robust. It uses an airway tree segmentation and a left and right lung labeled volume to restrict the response of an offset medialness vessel enhancement filter. On a data set of 24 patients, we show that quantitative indices derived from the vascular tree are applicable to distinguish patients with and without PH.

Original language	English
Title of host publication	Proceedings of the 17th Conference on Medical Image Understanding and Analysis
Editors	Ela Claridge, Andrew D. Palmer, William T. E. Pitkeathly
Publisher	The British Machine Vision Association
Pages	87-92
ISBN (Print)	1-901725-48-0
Publication status	Published - 2013

Fields of Expertise

Information, Communication & Computing

Access to Document

http://events.cs.bham.ac.uk/miua2013/MIUAproceedings.pdfLicence: Unspecified

Klinisch-Forensische Bildgebung - Developing methods to standardize computer-assisted medical MRI datas [Original in Deutsch: Klinisch-Forensische Bildgebung] - Standard_MRT
Urschler, M., Bornik, A. & Bischof, H.
1/12/08 → 31/05/15
Project: Research project

Cite this

Helmberger, M., Urschler, M., Pienn, M., Balint, Z., Olschewski, A., & Bischof, H. (2013). Tortuosity of Pulmonary Vessels Correlates with Pulmonary Hypertension. In E. Claridge, A. D. Palmer, & W. T. E. Pitkeathly (Eds.), Proceedings of the 17th Conference on Medical Image Understanding and Analysis (pp. 87-92). The British Machine Vision Association. http://events.cs.bham.ac.uk/miua2013/MIUAproceedings.pdf

Tortuosity of Pulmonary Vessels Correlates with Pulmonary Hypertension. / Helmberger, Michael; Urschler, Martin; Pienn, Michael et al.

Proceedings of the 17th Conference on Medical Image Understanding and Analysis. ed. / Ela Claridge; Andrew D. Palmer; William T. E. Pitkeathly. The British Machine Vision Association, 2013. p. 87-92.

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

Helmberger, M, Urschler, M, Pienn, M, Balint, Z, Olschewski, A & Bischof, H 2013, Tortuosity of Pulmonary Vessels Correlates with Pulmonary Hypertension. in E Claridge, AD Palmer & WTE Pitkeathly (eds), Proceedings of the 17th Conference on Medical Image Understanding and Analysis. The British Machine Vision Association, pp. 87-92. <http://events.cs.bham.ac.uk/miua2013/MIUAproceedings.pdf>

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abstract = "Pulmonary hypertension (PH) is a chronic disorder of the pulmonary circulation, marked by an elevated vascular resistance and pressure. Our objective is to find an automatic, non-invasive method for estimating the pulmonary pressure based on the analysis of lung vessels from contrast enhanced CT images. We present a pulmonary vessel extraction algorithm which is fast, fully automatic and robust. It uses an airway tree segmentation and a left and right lung labeled volume to restrict the response of an offset medialness vessel enhancement filter. On a data set of 24 patients, we show that quantitative indices derived from the vascular tree are applicable to distinguish patients with and without PH.",

author = "Michael Helmberger and Martin Urschler and Michael Pienn and Zoltan Balint and Andrea Olschewski and Horst Bischof",

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AU - Helmberger, Michael

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AU - Pienn, Michael

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AU - Olschewski, Andrea

AU - Bischof, Horst

PY - 2013

Y1 - 2013

N2 - Pulmonary hypertension (PH) is a chronic disorder of the pulmonary circulation, marked by an elevated vascular resistance and pressure. Our objective is to find an automatic, non-invasive method for estimating the pulmonary pressure based on the analysis of lung vessels from contrast enhanced CT images. We present a pulmonary vessel extraction algorithm which is fast, fully automatic and robust. It uses an airway tree segmentation and a left and right lung labeled volume to restrict the response of an offset medialness vessel enhancement filter. On a data set of 24 patients, we show that quantitative indices derived from the vascular tree are applicable to distinguish patients with and without PH.

AB - Pulmonary hypertension (PH) is a chronic disorder of the pulmonary circulation, marked by an elevated vascular resistance and pressure. Our objective is to find an automatic, non-invasive method for estimating the pulmonary pressure based on the analysis of lung vessels from contrast enhanced CT images. We present a pulmonary vessel extraction algorithm which is fast, fully automatic and robust. It uses an airway tree segmentation and a left and right lung labeled volume to restrict the response of an offset medialness vessel enhancement filter. On a data set of 24 patients, we show that quantitative indices derived from the vascular tree are applicable to distinguish patients with and without PH.

M3 - Conference paper

SN - 1-901725-48-0

SP - 87

EP - 92

BT - Proceedings of the 17th Conference on Medical Image Understanding and Analysis

A2 - Claridge, Ela

A2 - Palmer, Andrew D.

A2 - Pitkeathly, William T. E.

PB - The British Machine Vision Association

ER -

Tortuosity of Pulmonary Vessels Correlates with Pulmonary Hypertension

Abstract

Fields of Expertise

Access to Document

Fingerprint

Projects

Klinisch-Forensische Bildgebung - Developing methods to standardize computer-assisted medical MRI datas [Original in Deutsch: Klinisch-Forensische Bildgebung] - Standard_MRT

Cite this