A new processing sequence to assess airways using 3D CT-scan

Abstract : Accurate measurement of physiological parameters such as the bronchial lumen and bronchial wall areas helps in the diagnosis of lung diseases. Algorithms allowing such measures are the result of complex processing sequences composed of (i) bronchial volume extraction (ii) bronchial volume skeletonization (iii) wall extraction. The proposed sequences however still show weaknesses in terms of precision, extent and automation. In this paper we address various problems encountered at each step of the processing sequence and propose a new sequence for measuring lumen on bronchial section. Finally, this sequence is tested on two datasets of 10 anonymous exams1 collected from 10 different healthy volunteers and 10 different patients suffering from asthma that were attended by different practitioners.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01465173
Contributor : Jean Philippe Domenger <>
Submitted on : Friday, February 10, 2017 - 8:42:21 PM
Last modification on : Thursday, January 11, 2018 - 6:21:09 AM

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Hugo Balacey, Gaël Dournes, Pascal Desbarats, Jean-Philippe Domenger, François Laurent. A new processing sequence to assess airways using 3D CT-scan. 20th IEEE International Conference on Image Processing (ICIP), Sep 2013, Melbourne Australia. ⟨10.1109/ICIP.2013.6738482⟩. ⟨hal-01465173⟩

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