Evaluation of Lobar Biomechanics during Respiration Using Image Registration

Authors:
Kai Ding;Youbing Yin;Kunlin Cao;Gary E. Christensen;Ching-Long Lin;Eric A. Hoffman;Joseph M. Reinhardt
Affiliations:
Department of Biomedical Engineering,;Department of Mechanical and Industrial Engineering,;Department of Electrical and Computer Engineering,;Department of Electrical and Computer Engineering,;Department of Mechanical and Industrial Engineering,;Department of Biomedical Engineering, and Department of Radiology, The University of Iowa, Iowa City IA 52242;Department of Biomedical Engineering,
Venue:
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Year:
2009

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Abstract

The human lungs are divided into five independent compartments called lobes. The lobar fissures separate the lung lobes. It is hypothesized that the lobar surfaces slide against each other during respiration. We propose a method to evaluate the sliding motion of the lobar surfaces during respiration using lobe-by-lobe mass-preserving non-rigid image registration. We measure lobar sliding by evaluating the relative displacement on both sides of the fissure. The results show a superior-inferior gradient in the magnitude of lobar sliding. We compare whole-lung-based registration accuracy to lobe-by-lobe registration accuracy using vessel bifurcation landmarks.