Projects per year
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 |
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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
Projects
- 1 Finished
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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