Computer models for computation and verification of bronchial morphology

Chandrasekhar Pisupati; Lawrence B. Wolff; Wayne A. Mitzner; Elias A. Zerhouni

doi:10.1117/12.209684

24 May 1995 Computer models for computation and verification of bronchial morphology

Chandrasekhar Pisupati, Lawrence B. Wolff, Wayne A. Mitzner, Elias A. Zerhouni

Proceedings Volume 2433, Medical Imaging 1995: Physiology and Function from Multidimensional Images; (1995) https://doi.org/10.1117/12.209684
Event: Medical Imaging 1995, 1995, San Diego, CA, United States

Abstract

Accurate physiological measurements of the parameters like branching angles, branch lengths, and diameters of bronchial tree structures help in addressing the mechanistic and diagnostic questions related to obstructive lung disease. In order to facilitate these measurements, bronchial trees are reduced to a central axis tree. The approach we take employs first setting up a theoretical computerized tree structure, and then applying a 3D analysis to obtain the required anatomical data. A stick model was set up in 3D, with segment endpoints and diameters as input parameters to the model generator. By fixing the direction in which the slices are taken, a stack of 2D images of the generated 3D tree model is obtained, thereby simulating bronchial data sets. We design a two pass algorithm to compute the central axis tree and apply it on our models. In the first pass, the topological tree T is obtained by implementing a top-down seeded region growing algorithm of the 3D tree model. In the second pass, T is used to region growth along the axes of the branches. As the 3D tree model is traversed bottom-up, the centroid values of the cross sections of the branches are stored in the corresponding branch of T. At each bifurcation, the branch point and the three direction vectors along the branches are computed, by formulating it as a nonlinear optimization problem that minimizes the sum of least squares error of the centroid points of the corresponding branches. By connecting the branch points with straight lines, we obtain a reconstructed central axis tree which closely corresponds to the input stick model. We also studied the effect of adding external noise to out tree models and evaluating the physiological parameters. We conclude with the results of our algorithm on real airway trees.

Citation Download Citation

Chandrasekhar Pisupati, Lawrence B. Wolff, Wayne A. Mitzner, and Elias A. Zerhouni "Computer models for computation and verification of bronchial morphology", Proc. SPIE 2433, Medical Imaging 1995: Physiology and Function from Multidimensional Images, (24 May 1995); https://doi.org/10.1117/12.209684

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