Estimation of regional lung expansion via 3D image registration

Yan Pan; Dinesh Kumar; Eric A. Hoffman; Gary E. Christensen; Geoffrey McLennan; Joo Hyun Song; Alan Ross; Brett A. Simon; Joseph M. Reinhardt

doi:10.1117/12.596617

14 April 2005 Estimation of regional lung expansion via 3D image registration

Yan Pan, Dinesh Kumar, Eric A. Hoffman, Gary E. Christensen, Geoffrey McLennan, Joo Hyun Song, Alan Ross, Brett A. Simon, Joseph M. Reinhardt

Author Affiliations +

Proceedings Volume 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images; (2005) https://doi.org/10.1117/12.596617
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

A method is described to estimate regional lung expansion and related biomechanical parameters using multiple CT images of the lungs, acquired at different inflation levels. In this study, the lungs of two sheep were imaged utilizing a multi-detector row CT at different lung inflations in the prone and supine positions. Using the lung surfaces and the airway branch points for guidance, a 3D inverse consistent image registration procedure was used to match different lung volumes at each orientation. The registration was validated using a set of implanted metal markers. After registration, the Jacobian of the deformation field was computed to express regional expansion or contraction. The regional lung expansion at different pressures and different orientations are compared.

Citation Download Citation

Yan Pan, Dinesh Kumar, Eric A. Hoffman, Gary E. Christensen, Geoffrey McLennan, Joo Hyun Song, Alan Ross, Brett A. Simon, and Joseph M. Reinhardt "Estimation of regional lung expansion via 3D image registration", Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); https://doi.org/10.1117/12.596617

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