Stochastic tracking of small pulmonary vessels in human lung alveolar walls using synchrotron radiation micro CT images

Y. Kawata; N. Niki; K. Umetani; Y. Nakano; H. Ohamatsu; N. Moriyama; H. Itoh

doi:10.1117/12.2006895

29 March 2013 Stochastic tracking of small pulmonary vessels in human lung alveolar walls using synchrotron radiation micro CT images

Y. Kawata, N. Niki, K. Umetani, Y. Nakano, H. Ohamatsu, N. Moriyama, H. Itoh

Author Affiliations +

Proceedings Volume 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging; 867211 (2013) https://doi.org/10.1117/12.2006895
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Small pulmonary vessel networks (arteriole and venule) provide a significant insight into understanding the alveolated structure in the human acinus. However, automatic extraction of small pulmonary vessels is a challenge due to the presence of abundant complexities in the networks. We thereby introduce a stochastic framework, a particle filter, to track small vessels running inside alveolar walls in human acinus using synchrotron radiation micro CT (SRμCT) images. We formulated vessel tracking using a non-linear sate space which captures both smoothness of the trajectories and intensity coherence along vessel orientations. In the particle filter scheme, we computed the proposal distribution by using the orientation distribution function (ODF), which is estimated as the combination of three different profiles; appearance, directional, and medialness profiles. To model the posterior distribution, we obtained voxels inside cylindrical tube which encapsulated a local vessel part. We constructed the prior distribution using the von Mises-Fisher (vMF) distribution on a unit sphere. At the same time, we detected branches of a vessel by analyzing the dominance of local vessel orientations through the vMF mean shift algorithm. Given a seed point, the method is able to locate the optimal vessel networks inside alveolar walls. Applying the method to the SRμCT images of the human lung acini, we demonstrate its potential usefulness to extract the trajectories of small pulmonary vessels running inside the alveolar walls.

Citation Download Citation

Y. Kawata, N. Niki, K. Umetani, Y. Nakano, H. Ohamatsu, N. Moriyama, and H. Itoh "Stochastic tracking of small pulmonary vessels in human lung alveolar walls using synchrotron radiation micro CT images", Proc. SPIE 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, 867211 (29 March 2013); https://doi.org/10.1117/12.2006895

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