Voxel classification based airway tree segmentation

Pechin Lo; Marleen de Bruijne

doi:10.1117/12.772777

11 March 2008 Voxel classification based airway tree segmentation

Pechin Lo, Marleen de Bruijne

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69141K (2008) https://doi.org/10.1117/12.772777
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

This paper presents a voxel classification based method for segmenting the human airway tree in volumetric computed tomography (CT) images. In contrast to standard methods that use only voxel intensities, our method uses a more complex appearance model based on a set of local image appearance features and Kth nearest neighbor (KNN) classification. The optimal set of features for classification is selected automatically from a large set of features describing the local image structure at several scales. The use of multiple features enables the appearance model to differentiate between airway tree voxels and other voxels of similar intensities in the lung, thus making the segmentation robust to pathologies such as emphysema. The classifier is trained on imperfect segmentations that can easily be obtained using region growing with a manual threshold selection. Experiments show that the proposed method results in a more robust segmentation that can grow into the smaller airway branches without leaking into emphysematous areas, and is able to segment many branches that are not present in the training set.

Citation Download Citation

Pechin Lo and Marleen de Bruijne "Voxel classification based airway tree segmentation", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69141K (11 March 2008); https://doi.org/10.1117/12.772777

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available